Instructions to use luffycodes/parallel-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luffycodes/parallel-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="luffycodes/parallel-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("luffycodes/parallel-roberta-large") model = AutoModelForMaskedLM.from_pretrained("luffycodes/parallel-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ab1d32582c15f1f8394c2e2d9c33fd4eccd5cf67a75980ab45eef6dfdb64d16
- Size of remote file:
- 1.42 GB
- SHA256:
- f3c5c2454da38ad0bb3a10595e34e9f3e8e20f5a83c0c04bf036d552ac129c79
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