Instructions to use HiTZ/A2T_RoBERTa_SMFA_ACE-arg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/A2T_RoBERTa_SMFA_ACE-arg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="HiTZ/A2T_RoBERTa_SMFA_ACE-arg")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HiTZ/A2T_RoBERTa_SMFA_ACE-arg") model = AutoModelForSequenceClassification.from_pretrained("HiTZ/A2T_RoBERTa_SMFA_ACE-arg") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on the default config and train split of multi_nli
#2
by autoevaluator HF Staff - opened
Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!
Your model has been evaluated on the default config and train split of the multi_nli dataset by @2552, using the predictions stored here.
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