Instructions to use antoinelouis/camembert-L6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antoinelouis/camembert-L6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="antoinelouis/camembert-L6")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("antoinelouis/camembert-L6") model = AutoModel.from_pretrained("antoinelouis/camembert-L6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35e90ec50958ec1e9a1d509d31b51bb528d2ab7676cd8d701b94888e806d96e2
- Size of remote file:
- 272 MB
- SHA256:
- 237f6798b73bf1978b901a157a028643219e714435ccc9abe29926f444a165fe
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