Instructions to use aloxatel/bert-base-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aloxatel/bert-base-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aloxatel/bert-base-mnli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aloxatel/bert-base-mnli") model = AutoModelForSequenceClassification.from_pretrained("aloxatel/bert-base-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (e7f5b717760615af4be945ee6023810ee38acd96) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>582b4b1
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