low_cpu_mem_usage=True, load_in_8bit=True, device_map='auto',early_stopping=True,) class _SentinelTokenStoppingCriteria(transformers.StoppingCriteria): def __init__(self, sentinel_token_ids: torch.LongTensor, starting
text)tokenizerd=tokenizer(text,return_tensors="pt",padding=True,add_special_tokens=False).to(device="cuda")stopping_criteria=StoppingCriteriaList([StopOnToken([tokenizer.eos_token_id])])output=model.generate(**tokenizer
The binary classifier for tone response classification has been chosen as the best binary classifier, trained on the set of responses using Huggingface AutoTrain (HuggingfaceAutoTrain). Since the dataset consisted of a roughly equal split of negative and positive samples, we have chosen accuracy as...