Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use jacobduncan00/hackMIT-finetuned-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacobduncan00/hackMIT-finetuned-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jacobduncan00/hackMIT-finetuned-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jacobduncan00/hackMIT-finetuned-sst2") model = AutoModelForSequenceClassification.from_pretrained("jacobduncan00/hackMIT-finetuned-sst2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened about 1 year ago
by
SFconvertbot
Librarian Bot: Update Hugging Face dataset ID
#3 opened about 2 years ago
by
librarian-bot
Librarian Bot: Add base_model information to model
#2 opened over 2 years ago
by
librarian-bot
Align label mapping with sst2 config of glue dataset
#1 opened over 3 years ago
by
lewtun