Instructions to use admko/sembr2023-bert-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use admko/sembr2023-bert-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="admko/sembr2023-bert-small")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("admko/sembr2023-bert-small") model = AutoModelForTokenClassification.from_pretrained("admko/sembr2023-bert-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3eb04336836e7c1168538865eab8fbc4c25479564b9543d0c0a3254d3cee6211
- Size of remote file:
- 4.16 kB
- SHA256:
- 8f5832d6d5ad697103d1c7f621d8ee3c7d5f0e4b1209a991114ee6832470c8eb
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