Instructions to use m3hrdadfi/albert-fa-base-v2-sentiment-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3hrdadfi/albert-fa-base-v2-sentiment-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="m3hrdadfi/albert-fa-base-v2-sentiment-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/albert-fa-base-v2-sentiment-binary") model = AutoModelForSequenceClassification.from_pretrained("m3hrdadfi/albert-fa-base-v2-sentiment-binary") - Notebooks
- Google Colab
- Kaggle
Update tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c37fe740c99665765eb43012ebe342edb12f4341f7c7aa20f871efef7bdd00d
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size 72384640
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