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
Align label mapping with sst2 config of glue dataset
#1
by lewtun HF Staff - opened
Hi there, your model is using a default label mapping. Accept this PR to align the label mapping with the sst2 config of the glue dataset this model was trained on. This will enable your model to be evaluated by Hugging Face's automatic model evaluator