Instructions to use BlueMen/Medrx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BlueMen/Medrx with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-4-mini-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "BlueMen/Medrx") - Notebooks
- Google Colab
- Kaggle
File size: 2,862 Bytes
ce0ef63 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "<|endoftext|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|end|>",
"is_local": false,
"model_max_length": 131072,
"pad_token": "<|PAD▁TOKEN|>",
"padding_side": "left",
"tokenizer_class": "TokenizersBackend",
"unk_token": "�",
"added_tokens_decoder": {
"3251": {
"content": "�",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"199999": {
"content": "<|endoftext|>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"200018": {
"content": "<|endofprompt|>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
"200019": {
"content": "<|assistant|>",
"single_word": false,
"lstrip": false,
"rstrip": true,
"normalized": false,
"special": true
},
"200020": {
"content": "<|end|>",
"single_word": false,
"lstrip": false,
"rstrip": true,
"normalized": false,
"special": true
},
"200021": {
"content": "<|user|>",
"single_word": false,
"lstrip": false,
"rstrip": true,
"normalized": false,
"special": true
},
"200022": {
"content": "<|system|>",
"single_word": false,
"lstrip": false,
"rstrip": true,
"normalized": false,
"special": true
},
"200023": {
"content": "<|tool|>",
"single_word": false,
"lstrip": false,
"rstrip": true,
"normalized": false,
"special": false
},
"200024": {
"content": "<|/tool|>",
"single_word": false,
"lstrip": false,
"rstrip": true,
"normalized": false,
"special": false
},
"200025": {
"content": "<|tool_call|>",
"single_word": false,
"lstrip": false,
"rstrip": true,
"normalized": false,
"special": false
},
"200026": {
"content": "<|/tool_call|>",
"single_word": false,
"lstrip": false,
"rstrip": true,
"normalized": false,
"special": false
},
"200027": {
"content": "<|tool_response|>",
"single_word": false,
"lstrip": false,
"rstrip": true,
"normalized": false,
"special": false
},
"200028": {
"content": "<|tag|>",
"single_word": false,
"lstrip": false,
"rstrip": true,
"normalized": false,
"special": true
},
"200029": {
"content": "<|PAD▁TOKEN|>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
}
}
}
|