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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#18
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f6c57ca60070ecaaf20b53b84ae53c638cc2ebe8dea3072d1307c84d79285df
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size 17553496
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