Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use fxmarty/tiny-bert-sst2-distilled-clone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fxmarty/tiny-bert-sst2-distilled-clone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fxmarty/tiny-bert-sst2-distilled-clone")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fxmarty/tiny-bert-sst2-distilled-clone") model = AutoModelForSequenceClassification.from_pretrained("fxmarty/tiny-bert-sst2-distilled-clone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#18 opened over 1 year ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#17 opened over 2 years ago
by
librarian-bot
Adding ONNX file of this model
#16 opened almost 4 years ago
by
fxmarty