Instructions to use Etelis/SST2_ALBERT_5E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Etelis/SST2_ALBERT_5E with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Etelis/SST2_ALBERT_5E")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Etelis/SST2_ALBERT_5E") model = AutoModelForSequenceClassification.from_pretrained("Etelis/SST2_ALBERT_5E") - 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:dade1e68d8fc7525430b68b0c23afa7d2155b206682bfc7ef3d9b1b4d42d8e34
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size 46748096
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