Instructions to use OscarNav/tiny-bert-sst2-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OscarNav/tiny-bert-sst2-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OscarNav/tiny-bert-sst2-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OscarNav/tiny-bert-sst2-distilled") model = AutoModelForSequenceClassification.from_pretrained("OscarNav/tiny-bert-sst2-distilled") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("OscarNav/tiny-bert-sst2-distilled")
model = AutoModelForSequenceClassification.from_pretrained("OscarNav/tiny-bert-sst2-distilled")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OscarNav/tiny-bert-sst2-distilled")