Instructions to use yanaiela/roberta-base-epoch_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yanaiela/roberta-base-epoch_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="yanaiela/roberta-base-epoch_2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("yanaiela/roberta-base-epoch_2") model = AutoModelForMaskedLM.from_pretrained("yanaiela/roberta-base-epoch_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from yanaiela/roberta-base-epoch_2: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/yanaiela/roberta-base-epoch_2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://yanaiela/roberta-base-epoch_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/yanaiela/roberta-base-epoch_2/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 75ea311de9cf7df199e0fb256bb8801e7c3ea3371b4f640bf06ac92c26bd1e44
- Size of remote file:
- 499 MB
- SHA256:
- f8b47cd08ac64a7dcef564fdf809fa142f7c7f195b6b5b3722f3e2e40d5197ee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.