Instructions to use Iftisyed/my_bertpak_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Iftisyed/my_bertpak_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Iftisyed/my_bertpak_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Iftisyed/my_bertpak_model") model = AutoModelForTokenClassification.from_pretrained("Iftisyed/my_bertpak_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8491ebff2100394bd927d8d2f60046b78d4f1a2615cbddbd005379fce53810c
- Size of remote file:
- 436 MB
- SHA256:
- 9817564ff43a899e018eeda3289341c18b608ee86a9093e9c16b5fcadad90168
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