Instructions to use HuyenNguyen/tiny-bert-sst2-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuyenNguyen/tiny-bert-sst2-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuyenNguyen/tiny-bert-sst2-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuyenNguyen/tiny-bert-sst2-distilled") model = AutoModelForSequenceClassification.from_pretrained("HuyenNguyen/tiny-bert-sst2-distilled") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:d68d1cc36193c29cbfced151f36aea68bad192df949cf503a7b7932434d4c249
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size 17549312
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