Instructions to use openbmb/Eurus-RM-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/Eurus-RM-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="openbmb/Eurus-RM-7b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("openbmb/Eurus-RM-7b", trust_remote_code=True) model = AutoModel.from_pretrained("openbmb/Eurus-RM-7b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from openbmb/Eurus-RM-7b: direct link, hf CLI and curl.
- Browser
- Download file 72 Bytes
-
https://huggingface.co/openbmb/Eurus-RM-7b/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://openbmb/Eurus-RM-7b/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/openbmb/Eurus-RM-7b/resolve/main/special_tokens_map.json
72 Bytes
| { | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |