Created
February 7, 2024 09:13
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| # Load model directly | |
| from transformers import AutoTokenizer, AutoModelForCausalLM, LlamaTokenizer | |
| import torch | |
| # Bug: ValueError: Tokenizer class LlamaTokenizer does not exist or is not currently imported. | |
| # Solution: pip3 install sentencepiece | |
| # Info: https://github.com/huggingface/transformers/issues/22222 | |
| # Bug: ImportError: cannot import name 'LlamaTokenizer' from 'transformers' | |
| # Solution: pip3 install git+https://github.com/huggingface/transformers | |
| # Info: https://stackoverflow.com/questions/75907910/importerror-cannot-import-name-llamatokenizer-from-transformers | |
| tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2", padding_side="left") | |
| model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") | |
| while True: | |
| prompt = input("Input your prompt: ") | |
| # https://stackoverflow.com/questions/74748116/huggingface-automodelforcasuallm-decoder-only-architecture-warning-even-after | |
| input_ids = tokenizer.encode(tokenizer.eos_token + prompt, return_tensors="pt") | |
| print('generating response...') | |
| output = model.generate(input_ids, max_length=20, pad_token_id=tokenizer.eos_token_id) | |
| decoded_output = tokenizer.decode(output[0], skip_special_tokens=True) | |
| print("Response: ", decoded_output) | |
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