Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use CSAPS/premodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CSAPS/premodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="CSAPS/premodel")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("CSAPS/premodel") model = AutoModelForTokenClassification.from_pretrained("CSAPS/premodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33e58fe72ea887f166ddb07a261e9fc65ea28ea770f650a249b3636db3cdb114
- Size of remote file:
- 3.38 kB
- SHA256:
- 9d25be045f1d77e78f0a971610ec667614bf26a684074151c0e6b92d6b133061
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