Instructions to use sofom/roberta-base-hyperparam-lr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofom/roberta-base-hyperparam-lr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/roberta-base-hyperparam-lr")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sofom/roberta-base-hyperparam-lr") model = AutoModel.from_pretrained("sofom/roberta-base-hyperparam-lr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a553443a4cc74f39751b6b66994b7e631dc32e9391a90983fc1b01619d7ed629
- Size of remote file:
- 249 MB
- SHA256:
- aa33474da17301e6847cd472c58a7fe14bfe8ad90214370c0284b9e7fc20d92c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.