Text Classification
Transformers
Safetensors
English
distilbert
sketch-of-thought
efficient-inference
Instructions to use saytes/SoT_DistilBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saytes/SoT_DistilBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saytes/SoT_DistilBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("saytes/SoT_DistilBERT") model = AutoModelForSequenceClassification.from_pretrained("saytes/SoT_DistilBERT") - Notebooks
- Google Colab
- Kaggle
Add paper abstract and link to model card
#1
by nielsr HF Staff - opened
This PR adds the abstract from the linked paper to the model card and updates the paper link to the Hugging Face paper link. This provides more context and makes the relevant information easily accessible.
saytes changed pull request status to merged