Instructions to use daze-unlv/almanach-camembert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daze-unlv/almanach-camembert-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("daze-unlv/almanach-camembert-base") model = AutoModelForMultipleChoice.from_pretrained("daze-unlv/almanach-camembert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from daze-unlv/almanach-camembert-base: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
-
https://huggingface.co/daze-unlv/almanach-camembert-base/resolve/main/added_tokens.json
- Command line
-
hf download hf://daze-unlv/almanach-camembert-base/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/daze-unlv/almanach-camembert-base/resolve/main/added_tokens.json
28 Bytes
| { | |
| "<unk>NOTUSED": 32005 | |
| } | |