Instructions to use textattack/bert-base-uncased-MNLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/bert-base-uncased-MNLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/bert-base-uncased-MNLI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/bert-base-uncased-MNLI") model = AutoModelForSequenceClassification.from_pretrained("textattack/bert-base-uncased-MNLI") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
3a97f68 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e672cb4f286f6f80c4212780771bd8beb9a61710c560d3fbebe42be662fb6780
size 437945404
|