Instructions to use ssbuild/internlm-chat-7b-int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ssbuild/internlm-chat-7b-int4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ssbuild/internlm-chat-7b-int4", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ssbuild/internlm-chat-7b-int4", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 343 Bytes
b53674d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"auto_map": {
"AutoTokenizer": [
"tokenization_internlm.InternLMTokenizer",
null
]
},
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "</s>",
"tokenizer_class": "InternLMTokenizer",
"unk_token": "<unk>"
}
|