Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use bwahyuh/digidawfinal_E5small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bwahyuh/digidawfinal_E5small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bwahyuh/digidawfinal_E5small")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bwahyuh/digidawfinal_E5small") model = AutoModelForSequenceClassification.from_pretrained("bwahyuh/digidawfinal_E5small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f214a3c600ee168537effa70f0bb3b8a9af6ffbbd914aa2a8e8f07bd47e1766a
- Size of remote file:
- 471 MB
- SHA256:
- 83eeb738d86803206e515c2e7d3eb896bf21754bcad44760424bdea6bdadc5da
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