Fill-Mask
Transformers
PyTorch
TensorFlow
Safetensors
French
camembert
biomedical
clinical
life sciences
neuron
Instructions to use almanach/camembert-bio-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almanach/camembert-bio-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="almanach/camembert-bio-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("almanach/camembert-bio-base") model = AutoModelForMaskedLM.from_pretrained("almanach/camembert-bio-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from almanach/camembert-bio-base: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/almanach/camembert-bio-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://almanach/camembert-bio-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/almanach/camembert-bio-base/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- d4138950bcb3e3a52889830d681dd0ff536de7a4a68f4d23c4fbf35b11914722
- Size of remote file:
- 443 MB
- SHA256:
- fe05dddeb0b38179d1c6dedcc5da281c8119e7429af38b2a2d1a2d5829f1256f
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