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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Update Hugging Face dataset ID
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by librarian-bot - opened
README.md
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pipeline_tag: zero-shot-classification
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datasets:
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- snli
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- anli
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- multi_nli
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- multi_nli_mismatch
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- fever
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# A2T Entailment model
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datasets:
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- snli
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- facebook/anli
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- multi_nli
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- multi_nli_mismatch
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- fever
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pipeline_tag: zero-shot-classification
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---
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# A2T Entailment model
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