Instructions to use trl-lib/llama-7b-se-rm-peft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trl-lib/llama-7b-se-rm-peft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trl-lib/llama-7b-se-rm-peft", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token": { | |
| "__type": "AddedToken", | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": { | |
| "__type": "AddedToken", | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": null, | |
| "special_tokens_map_file": "/home/lewis_huggingface_co/.cache/huggingface/hub/models--huggingface--llama-7b/snapshots/44ca77542b4c10805b72a96fe51eee1a119d149f/special_tokens_map.json", | |
| "tokenizer_class": "LlamaTokenizer", | |
| "unk_token": { | |
| "__type": "AddedToken", | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |