Text Classification
Transformers
Keras
Safetensors
English
Bengali
bert
indian-sign-language
multilingual
Instructions to use rahul2025/isl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahul2025/isl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rahul2025/isl")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rahul2025/isl") model = AutoModelForSequenceClassification.from_pretrained("rahul2025/isl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model_cnn.keras from rahul2025/isl: direct link, hf CLI and curl.
- Browser
- Download file 26.2 MB
-
https://huggingface.co/rahul2025/isl/resolve/main/model_cnn.keras
- Command line
-
hf download hf://rahul2025/isl/model_cnn.keras
-
curl -L -o model_cnn.keras https://huggingface.co/rahul2025/isl/resolve/main/model_cnn.keras
26.2 MB
- Xet hash:
- 6546a14103a255de151d779902ffe67d0b0bf12c7e39debc8cc9fc129e59cde8
- Size of remote file:
- 26.2 MB
- SHA256:
- 9da6bbc901df0600989b4218985fe25a14ede5499532c80fa54ba3b9b326b6bf
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