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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13add27795cf2af3a294f87796d268526533500bceccd1076bcd8168c2cdc1d4
- Size of remote file:
- 667 MB
- SHA256:
- 71591e2afd2cad621e0ed156a8e31fb4cf1e01d81b1c5a0e65d8923a6590b657
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