Instructions to use intelcomp/fos_level0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelcomp/fos_level0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelcomp/fos_level0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelcomp/fos_level0") model = AutoModelForSequenceClassification.from_pretrained("intelcomp/fos_level0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8863f576d63a059273bbb7515a88685a4aeed014aa8fab874bee8af7208160f5
- Size of remote file:
- 2.48 kB
- SHA256:
- c977e870cd84212a10faad154616e0c5af4e2ac825e4f21da3ab262904d3c624
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