Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use rushikeshwalode/Text_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rushikeshwalode/Text_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rushikeshwalode/Text_Classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rushikeshwalode/Text_Classification") model = AutoModelForSequenceClassification.from_pretrained("rushikeshwalode/Text_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from rushikeshwalode/Text_Classification: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/rushikeshwalode/Text_Classification/resolve/main/model.safetensors
- Command line
-
hf download hf://rushikeshwalode/Text_Classification/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/rushikeshwalode/Text_Classification/resolve/main/model.safetensors
268 MB
- Xet hash:
- bda7859102f249a3541365f4ba3a40b31120e86f3f3cd56e405d64da381ed640
- Size of remote file:
- 268 MB
- SHA256:
- fe70c4bc93fbfe2cbb581c7ac334f4df7c064a7574195eae6f8cceb5b2557b94
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