Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use iftekher/web_classifier_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iftekher/web_classifier_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iftekher/web_classifier_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iftekher/web_classifier_model") model = AutoModelForSequenceClassification.from_pretrained("iftekher/web_classifier_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from iftekher/web_classifier_model: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/iftekher/web_classifier_model/resolve/main/tf_model.h5
- Command line
-
hf download hf://iftekher/web_classifier_model/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/iftekher/web_classifier_model/resolve/main/tf_model.h5
268 MB
- Xet hash:
- fafbc6cca32bddf28a063b29d3c1da1628d3f58491d2acdadac327ffae9e8ace
- Size of remote file:
- 268 MB
- SHA256:
- 60f64b5a4ea2d9517e0f363451566e27fbee7ac1688784d9ef1613f87d0acb09
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