Text Classification
Transformers
PyTorch
TensorBoard
English
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use lukxus/TwitterCorona with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lukxus/TwitterCorona with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lukxus/TwitterCorona")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lukxus/TwitterCorona") model = AutoModelForSequenceClassification.from_pretrained("lukxus/TwitterCorona", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from lukxus/TwitterCorona: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/lukxus/TwitterCorona/resolve/main/training_args.bin
- Command line
-
hf download hf://lukxus/TwitterCorona/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lukxus/TwitterCorona/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 3ff0dac272ad237b75de66cfeda94375e2ec8e736a15083fe2a4a52c483a79e5
- Size of remote file:
- 3.96 kB
- SHA256:
- 085e6d57bdd9ecd850b3cd42d804ad0785b8f7a5e8d91ed9be9d3fb337f16750
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