Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ericNguyen0132/roberta-large-Dep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericNguyen0132/roberta-large-Dep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ericNguyen0132/roberta-large-Dep")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ericNguyen0132/roberta-large-Dep") model = AutoModelForSequenceClassification.from_pretrained("ericNguyen0132/roberta-large-Dep") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6811682526eeed9643997ea3f880ae63a8056c6dad56edae56c6f9932cd349d7
- Size of remote file:
- 4.03 kB
- SHA256:
- cd97cb6fb3c4727c8d1e569bdb075bcd32015e22040a592529ba2ec0b7569728
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