Text Classification
Transformers
Safetensors
Abkhaz
camembert
fill-mask
code
text-embeddings-inference
Instructions to use williamC21/camembert-base-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use williamC21/camembert-base-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="williamC21/camembert-base-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("williamC21/camembert-base-test") model = AutoModelForMaskedLM.from_pretrained("williamC21/camembert-base-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from williamC21/camembert-base-test: direct link, hf CLI and curl.
- Browser
- Download file 2.1 MB
-
https://huggingface.co/williamC21/camembert-base-test/resolve/main/tokenizer.json
- Command line
-
hf download hf://williamC21/camembert-base-test/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/williamC21/camembert-base-test/resolve/main/tokenizer.json
2.1 MB
File too large to display, you can check the raw version instead.