Instructions to use AlonCohen/social_groups_second_try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlonCohen/social_groups_second_try with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AlonCohen/social_groups_second_try")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AlonCohen/social_groups_second_try") model = AutoModelForTokenClassification.from_pretrained("AlonCohen/social_groups_second_try", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c36a035923c0af4bea1b23f679216cfbb7c6364d52ec8469891ca6dc9cdbbc61
- Size of remote file:
- 261 MB
- SHA256:
- 478dbf9e74e205a6096d8c7eccee47388cc75fadb1dd7ad707ade2a0ad3c25aa
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