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:
# 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 tokenizer.json from daze-unlv/almanach-camembert-base: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/daze-unlv/almanach-camembert-base/resolve/main/tokenizer.json
- Command line
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hf download hf://daze-unlv/almanach-camembert-base/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/daze-unlv/almanach-camembert-base/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.