Instructions to use Tommert25/BestRobBERT1610 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommert25/BestRobBERT1610 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tommert25/BestRobBERT1610")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tommert25/BestRobBERT1610") model = AutoModelForTokenClassification.from_pretrained("Tommert25/BestRobBERT1610") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67c1d8e9ea1a8a886c55b256545fb605945347c9439644d43e029ccc59705cdc
- Size of remote file:
- 4.09 kB
- SHA256:
- 363c6df123cf97ec8546459e9a7e336777c768ef483ab5397906fbef4741f3f5
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