Instructions to use SarwarShafee/BanglaBert_with_TFModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SarwarShafee/BanglaBert_with_TFModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SarwarShafee/BanglaBert_with_TFModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SarwarShafee/BanglaBert_with_TFModel") model = AutoModelForSequenceClassification.from_pretrained("SarwarShafee/BanglaBert_with_TFModel") - 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:c7038a2d8a4a1c587c7ea79bdc7b57a57efa70a56e807e996683d9d63e0dd319
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size 440129200
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