Instructions to use Svangorden13/working with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Svangorden13/working with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Svangorden13/working")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Svangorden13/working") model = AutoModelForTokenClassification.from_pretrained("Svangorden13/working") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- run-20240203_231535-ot9nmopj
- run-20240205_152927-4k5j7ik4
- run-20240205_165544-i5hpgmd3
- run-20240208_231605-nbhr8nhf
- run-20240213_232944-cqza16s3
- run-20240219_170539-ebg0d2yp
- run-20240219_190940-ztflz27u
- run-20240221_171730-9wbsk0df
- run-20240224_185021-766tgrrc
- run-20240227_002039-0ht8wbd3
- run-20240227_183749-x3m70edb
- run-20240227_190534-i3bofc05
- run-20240228_164728-a7eaa078
- 18.8 kB
- 8.9 kB