Instructions to use hf-internal-testing/tiny-random-DistilBertForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DistilBertForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-DistilBertForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-DistilBertForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-DistilBertForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
1cd8732 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fb29da1db70b40db11e7e4d4fdacda741860005d7521a807a90d833d56218ce2
size 359864
|