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
- Xet hash:
- 8ee827857c4e47411add088cb69fc4e74cd7fea0dc46badb10b461bb09622252
- Size of remote file:
- 505 MB
- SHA256:
- 80bd0dabf05e328a3c0f42101d9344b6a385326c4e6a1df62f0d33771123af6e
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