Instructions to use Sayan01/L-2_H-128_A-2_Large_sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/L-2_H-128_A-2_Large_sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/L-2_H-128_A-2_Large_sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/L-2_H-128_A-2_Large_sst2") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/L-2_H-128_A-2_Large_sst2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 935b204bef64a8c6d3a0ec63212064fb6a7efc23bafd197a561127cb5803bb4d
- Size of remote file:
- 3.64 kB
- SHA256:
- f4da998c9c70f149a8d1bf084a244cc1c4f54f9d2ea9242018991ba04fcfe800
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