Instructions to use lizhou21/roberta-large-retacred with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lizhou21/roberta-large-retacred with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lizhou21/roberta-large-retacred")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lizhou21/roberta-large-retacred") model = AutoModelForMaskedLM.from_pretrained("lizhou21/roberta-large-retacred") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e96a98d48e3a069e77524826fcbcb8e869d254a384c4554142a07d3f3152631c
- Size of remote file:
- 1.44 GB
- SHA256:
- 2c1ea2afba6461b7dbdb18e5685f8a7c56b28bbf1c30d13f46a94ef451d14e25
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.