Instructions to use mapama247/fos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mapama247/fos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mapama247/fos")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mapama247/fos") model = AutoModelForSequenceClassification.from_pretrained("mapama247/fos") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 503cca4a023224968ced5be8a0a01cab1df6a10342faf03845049ca8f1105837
- Size of remote file:
- 2.84 GB
- SHA256:
- 46d47c27a923a6cda14c5ed153c6601c3e1918d3b6ec50683e4240d04f256768
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