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:
- 109d582f06e720d7066db20f72eb13fe9fab79259fd99dc2d5be54df30421f82
- Size of remote file:
- 1.42 GB
- SHA256:
- 4d7f0225519b1dbd68c32830b021b4a413bbedb3c5e9806770ff7d6640015420
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