Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use Manirathinam21/DistilBert_SMSSpam_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manirathinam21/DistilBert_SMSSpam_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Manirathinam21/DistilBert_SMSSpam_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Manirathinam21/DistilBert_SMSSpam_classifier") model = AutoModelForSequenceClassification.from_pretrained("Manirathinam21/DistilBert_SMSSpam_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from Manirathinam21/DistilBert_SMSSpam_classifier: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Manirathinam21/DistilBert_SMSSpam_classifier/resolve/main/tf_model.h5
- Command line
-
hf download hf://Manirathinam21/DistilBert_SMSSpam_classifier/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Manirathinam21/DistilBert_SMSSpam_classifier/resolve/main/tf_model.h5
268 MB
- Xet hash:
- e9334e18696cce343c43fd466614bddd20f39690abcc4271a6154ce6bfdd3cf3
- Size of remote file:
- 268 MB
- SHA256:
- 0424df6de9893b2b3b456fc9afae79e33bc9a5d0e7699191d53849880f29a6af
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