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Update README.md

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  ---
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- license: mit
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  base_model: facebook/bart-large-cnn
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  tags:
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  - generated_from_trainer
@@ -8,6 +8,9 @@ metrics:
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  model-index:
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  - name: InstructTweetSummarizer
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  results: []
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -59,10 +62,27 @@ The following hyperparameters were used during training:
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  | 0.5244 | 2.0 | 834 | 0.3440 | 46.9139 | 24.683 | 35.3699 | 35.333 | 119.65 |
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  | 0.2061 | 3.0 | 1251 | 0.3548 | 47.5134 | 24.7121 | 35.7366 | 35.6499 | 111.96 |
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  ### Framework versions
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  - Transformers 4.34.1
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  - Pytorch 2.1.0
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  - Datasets 2.14.7
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- - Tokenizers 0.14.1
 
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  ---
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+ license: other
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  base_model: facebook/bart-large-cnn
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  tags:
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  - generated_from_trainer
 
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  model-index:
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  - name: InstructTweetSummarizer
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  results: []
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+ language:
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+ - en
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+ pipeline_tag: summarization
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  | 0.5244 | 2.0 | 834 | 0.3440 | 46.9139 | 24.683 | 35.3699 | 35.333 | 119.65 |
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  | 0.2061 | 3.0 | 1251 | 0.3548 | 47.5134 | 24.7121 | 35.7366 | 35.6499 | 111.96 |
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+ ### How to use
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+
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+ Here is how to use this model with the [pipeline API](https://huggingface.co/transformers/main_classes/pipelines.html):
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+ ```python
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+ from transformers import pipeline
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+ summarizer = pipeline("summarization", model="Sidharthkr/InstructTweetSummarizer")
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+ def summarymaker(instruction = "", tweets = ""):
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+ ARTICLE = f"""[INST] {instruction} [/INST] \\n [TWEETS] {tweets} [/TWEETS]"""
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+ out = summarizer(ARTICLE, max_length=130, min_length=10, do_sample=False)
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+ out = out[0]['summary_text'].split("[SUMMARY]")[-1].split("[/")[0].split("[via")[0].strip()
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+ return out
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+
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+ summarymaker(instruction = "Summarize the tweets for Stellantis in 100 words",
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+ tweets = """Stellantis - arch critic of Chinese EVs coming to Europe - is in talks with CATL to build a European plant. \n\nIt has concluded that cutting the price of EVs by using Chinese LFP batteries is more important.\n\n@FT story: \nhttps://t.co/l7nGggRFxH. State-of-the-art North America Battery Technology Centre begins to take shape at Stellantis' Automotive Research and Development Centre (ARDC) in Windsor, Ontario.\n\nhttps://t.co/04RO7CL1O5. RT @UAW: 🧵After the historic Stand Up Strike, UAW members at Ford, General Motors and Stellantis have voted to ratify their new contracts,…. RT @atorsoli: Stellantis and CATL are set to supply lower-cost EV batteries together for Europe, signaling automaker's efforts to tighten t…. RT @atorsoli: Stellantis and CATL are set to supply lower-cost EV batteries together for Europe, signaling automaker's efforts to tighten""")
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+ >>> 'Stellantis is in talks with CATL to build a European plant, with a focus on cutting the price of EVs by using Chinese LFP batteries. The company is also developing a state-of-the-art North America Battery Technology Centre in Windsor, Ontario, and has ratified its new contracts with the UAW.'
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+ ```
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  ### Framework versions
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  - Transformers 4.34.1
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  - Pytorch 2.1.0
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  - Datasets 2.14.7
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+ - Tokenizers 0.14.1