Instructions to use uvegesistvan/roberta_large_pl_10_sh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uvegesistvan/roberta_large_pl_10_sh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="uvegesistvan/roberta_large_pl_10_sh")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("uvegesistvan/roberta_large_pl_10_sh") model = AutoModelForSequenceClassification.from_pretrained("uvegesistvan/roberta_large_pl_10_sh") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
6fe491e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4ef18b36dc40694b1fb933f2cf0b5dc9b5d01bbf66e05c7f6cebe9771f19cb0f
size 5240
|