Instructions to use Isuri97/holo_mlm_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isuri97/holo_mlm_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Isuri97/holo_mlm_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Isuri97/holo_mlm_roberta") model = AutoModelForMaskedLM.from_pretrained("Isuri97/holo_mlm_roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59ed52764aa9fea1ec4808955b991407f971da2d3c60d6750f7084514352fb32
- Size of remote file:
- 499 MB
- SHA256:
- 81a402ede3a242266020037a51a81da4a9199b0e1d06b4eef7d11a9f9fe11025
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