Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use mnavas/roberta-finetuned-WebClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mnavas/roberta-finetuned-WebClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mnavas/roberta-finetuned-WebClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mnavas/roberta-finetuned-WebClassification") model = AutoModelForSequenceClassification.from_pretrained("mnavas/roberta-finetuned-WebClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
8cae648 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:aabed5638d5621e19ed381afa13d60c8be0953b896b8cdca2df7ccc6a33c5390
size 3055
|