Salesforce/codegen2-1B
This is the Salesforce/codegen2-1B model converted to OpenVINO, for accelerated inference.
An example of how to do inference on this model:
from transformers import AutoTokenizer
from optimum.intel.openvino import OVModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("helenai/Salesforce-codegen2-1B-ov")
model = OVModelForCausalLM.from_pretrained("helenai/Salesforce-codegen2-1B-ov")
# Try the version with quantized model weights by changing the line above to:
# model = OVModelForCausalLM.from_pretrained("helenai/Salesforce-codegen2-1B-ov", revision="compressed_weights")
text = "def hello_world():"
input_ids = tokenizer(text, return_tensors="pt").input_ids
generated_ids = model.generate(input_ids, max_length=128)
print(tokenizer.decode(generated_ids[0], skip_special_tokens=True))
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