Instructions to use ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU") model = AutoModelForSequenceClassification.from_pretrained("ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU: direct link, hf CLI and curl.
- Browser
- Download file 624 Bytes
-
https://huggingface.co/ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU/resolve/main/special_tokens_map.json
624 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<unk>", | |
| "<s>", | |
| "</s>" | |
| ], | |
| "bos_token": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |