Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use coderSounak/finetuned_twitter_profane_LSTM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coderSounak/finetuned_twitter_profane_LSTM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="coderSounak/finetuned_twitter_profane_LSTM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("coderSounak/finetuned_twitter_profane_LSTM") model = AutoModelForSequenceClassification.from_pretrained("coderSounak/finetuned_twitter_profane_LSTM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from coderSounak/finetuned_twitter_profane_LSTM: direct link, hf CLI and curl.
- Browser
- Download file 46.5 MB
-
https://huggingface.co/coderSounak/finetuned_twitter_profane_LSTM/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://coderSounak/finetuned_twitter_profane_LSTM/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/coderSounak/finetuned_twitter_profane_LSTM/resolve/main/pytorch_model.bin
46.5 MB
- Xet hash:
- eea9e993aae2a1686a43fe977544190dbd2e65b81646d1603059762b0ce24c56
- Size of remote file:
- 46.5 MB
- SHA256:
- e35cf80321f3da3d7d2dca79a7de0566bcadc09b4b58373e4aba984fc45db7f5
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