| import torch | |
| from transformers import LlamaTokenizer, LlamaForCausalLM | |
| tokenizer = LlamaTokenizer.from_pretrained('sarvamai/OpenHathi-7B-Hi-v0.1-Base') | |
| # model = LlamaForCausalLM.from_pretrained('sarvamai/OpenHathi-7B-Hi-v0.1-Base', torch_dtype=torch.bfloat16) | |
| prompt = "The Indian cricket fans were very disappointed after India's loss against Australia in the World Cup." | |
| inputs = tokenizer.encode(prompt)#, return_tensors="pt") | |
| print(len(inputs)) | |
| print(tokenizer.decode(inputs)) | |
| prompt="विश्व कप में ऑस्ट्रेलिया के खिलाफ भारत की हार के बाद भारतीय क्रिकेट प्रशंसक काफी निराश थे।" | |
| inputs = tokenizer.encode(prompt)#, return_tensors="pt") | |
| print(len(inputs)) | |
| print(tokenizer.decode(inputs)) | |
| # Generate | |
| # generate_ids = model.generate(inputs.input_ids, max_length=30) | |
| # tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] |