Instructions to use almanach/camembert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almanach/camembert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="almanach/camembert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("almanach/camembert-base") model = AutoModelForMaskedLM.from_pretrained("almanach/camembert-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Adds missing tokenizer configuration file (#8)
Browse files- Adds tokenizer_config.json file (01e9807a56436284919565297cb3843b79ae9d4f)
Co-authored-by: Lysandre <lysandre@users.noreply.huggingface.co>