Instructions to use Tommert25/MultiBERTBestModelOct11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommert25/MultiBERTBestModelOct11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tommert25/MultiBERTBestModelOct11")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tommert25/MultiBERTBestModelOct11") model = AutoModelForTokenClassification.from_pretrained("Tommert25/MultiBERTBestModelOct11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5dd6a63448bc985f29f29b8f199661b7cd1ddbbee5a6194038c443faf2b6ccb9
- Size of remote file:
- 4.09 kB
- SHA256:
- 06f646be772f49f5d475ed0cca6f4361d338072d1ab478955486325ddc26827f
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