NewBreaker
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Commit
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Parent(s):
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auto git
Browse files- README.md +2 -0
- config.json +1 -1
- demo_call_api.py +10 -9
README.md
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example_title: Rammstein's album Mutter
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pipeline_tag: text2text-generation
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---
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example_title: Rammstein's album Mutter
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pipeline_tag: text2text-generation
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tags:
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- conversational
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---
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config.json
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"AutoModel": "modeling_chatglm.ChatGLMForConditionalGeneration",
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"AutoModelForSeq2SeqLM": "modeling_chatglm.ChatGLMForConditionalGeneration"
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},
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"bos_token_id": 130004,
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"eos_token_id": 130005,
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"gmask_token_id": 130001,
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"AutoModel": "modeling_chatglm.ChatGLMForConditionalGeneration",
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"AutoModelForSeq2SeqLM": "modeling_chatglm.ChatGLMForConditionalGeneration"
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},
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"bos_token_id": 130004,
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"eos_token_id": 130005,
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"gmask_token_id": 130001,
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demo_call_api.py
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from transformers import AutoModel,AutoTokenizer
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model = AutoModel.from_pretrained("NewBreaker/chatglm-6b-int4",trust_remote_code=True)
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tokenizer = AutoTokenizer.from_pretrained("NewBreaker/chatglm-6b-int4", trust_remote_code=True)
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from transformers import AutoConfig
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config = AutoConfig.from_pretrained("
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# Push the config to your namespace with the name "my-finetuned-bert".
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config.push_to_hub("my-finetuned-bert")
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# Push the config to
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config.push_to_hub("
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# from transformers import AutoModel,AutoTokenizer
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#
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# model = AutoModel.from_pretrained("NewBreaker/chatglm-6b-int4",trust_remote_code=True)
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# tokenizer = AutoTokenizer.from_pretrained("NewBreaker/chatglm-6b-int4", trust_remote_code=True)
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from transformers import AutoConfig
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config = AutoConfig.from_pretrained("silver/chatglm-6b-int4-qe-slim",trust_remote_code=True)
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# # Push the config to your namespace with the name "my-finetuned-bert".
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config.push_to_hub("silver/chatglm-6b-int4-qe-slim")
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#
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# # Push the config to an organization with the name "my-finetuned-bert".
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# config.push_to_hub("huggingface/my-finetuned-bert")
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