Instructions to use prajjwal1/bert-tiny-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajjwal1/bert-tiny-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="prajjwal1/bert-tiny-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("prajjwal1/bert-tiny-mnli") model = AutoModelForSequenceClassification.from_pretrained("prajjwal1/bert-tiny-mnli") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
a8dcb2b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:66a1a02128588759ff40ce643bcfa4e53af9dd24d21c96cda7d16743bea32073
size 1519
|