Instructions to use hf-internal-testing/tiny-random-T5ForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-T5ForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-T5ForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-T5ForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-T5ForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
105b5c4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:142a9ebb506519947b2e6bd827f2f98bc6a0c75889f17249bc68071c41f07208
size 4495829
|