Instructions to use taln-ls2n/ContriBERT-ACL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taln-ls2n/ContriBERT-ACL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="taln-ls2n/ContriBERT-ACL")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("taln-ls2n/ContriBERT-ACL") model = AutoModelForSequenceClassification.from_pretrained("taln-ls2n/ContriBERT-ACL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a976d3f40898917b74483981fc9f3752dbd3bf7423d58dfa2206bed50659044
- Size of remote file:
- 5.5 kB
- SHA256:
- 6eb29be3608178ac8fc150ea4ee04f14df0575a6c5117384a1e80950306bafab
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