Instructions to use ynie/bart-large-snli_mnli_fever_anli_R1_R2_R3-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ynie/bart-large-snli_mnli_fever_anli_R1_R2_R3-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ynie/bart-large-snli_mnli_fever_anli_R1_R2_R3-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ynie/bart-large-snli_mnli_fever_anli_R1_R2_R3-nli") model = AutoModelForSequenceClassification.from_pretrained("ynie/bart-large-snli_mnli_fever_anli_R1_R2_R3-nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{"do_lower_case": false, "model_max_length": 1024}
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