Instructions to use roscazo/DISO_bsc_test16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/DISO_bsc_test16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="roscazo/DISO_bsc_test16")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("roscazo/DISO_bsc_test16") model = AutoModelForTokenClassification.from_pretrained("roscazo/DISO_bsc_test16") - Notebooks
- Google Colab
- Kaggle
Training complete
Browse files
pytorch_model.bin
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runs/Jan03_12-23-03_66877fe78942/events.out.tfevents.1672748591.66877fe78942.330.0
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