Instructions to use mn00/FlaubertUse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mn00/FlaubertUse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mn00/FlaubertUse")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mn00/FlaubertUse") model = AutoModelForSequenceClassification.from_pretrained("mn00/FlaubertUse", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b5df30c370f5dcd3b3bceec6cca4263c21acf40b16b1f5e2e3d1becc6ee3213
- Size of remote file:
- 549 MB
- SHA256:
- bcbc4a9d6a8c65cd6d77b69492c5668116c0a859f69b868dc148e547e5f34bf5
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