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 pytorch_model.bin from lukxus/TwitterCorona: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/lukxus/TwitterCorona/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://lukxus/TwitterCorona/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lukxus/TwitterCorona/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- bee1a192b5ea4381952c91114b6f890358932e5a35fb6cb62349b94071fe7ae2
- Size of remote file:
- 499 MB
- SHA256:
- c6174d94dbb69be33fbe23494f1b212f310d6d9c975d75e17e5d52c21760ae07
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