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 config.json from ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU: direct link, hf CLI and curl.
- Browser
- Download file 732 Bytes
-
https://huggingface.co/ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU/resolve/main/config.json
- Command line
-
hf download hf://ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU/config.json
-
curl -L -o config.json https://huggingface.co/ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU/resolve/main/config.json
732 Bytes
| { | |
| "_name_or_path": "./", | |
| "architectures": [ | |
| "MistralForSequenceClassification" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "id2label": { | |
| "0": "LABEL_0" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 14336, | |
| "label2id": { | |
| "LABEL_0": 0 | |
| }, | |
| "max_position_embeddings": 32768, | |
| "model_type": "mistral", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 8, | |
| "pad_token_id": 2, | |
| "rms_norm_eps": 1e-05, | |
| "rope_theta": 10000.0, | |
| "sliding_window": 4096, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.36.2", | |
| "use_cache": false, | |
| "vocab_size": 32000 | |
| } | |