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:
- cceed5f19b9a972d38e02d35e11c18902418399af5298b98a4dc2a6004b3c3dd
- Size of remote file:
- 4.16 kB
- SHA256:
- 5bc544fc0596cd24e3d3acf55444d97a6db62b58fc7f37356391f141adab3357
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