Instructions to use ACCORD-NLP/roberta-large-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACCORD-NLP/roberta-large-lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ACCORD-NLP/roberta-large-lm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ACCORD-NLP/roberta-large-lm") model = AutoModelForMaskedLM.from_pretrained("ACCORD-NLP/roberta-large-lm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from ACCORD-NLP/roberta-large-lm: direct link, hf CLI and curl.
- Browser
- Download file 2.84 GB
-
https://huggingface.co/ACCORD-NLP/roberta-large-lm/resolve/main/optimizer.pt
- Command line
-
hf download hf://ACCORD-NLP/roberta-large-lm/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ACCORD-NLP/roberta-large-lm/resolve/main/optimizer.pt
2.84 GB
- Xet hash:
- e3bd5214499f8f7845a446947bce222e336967c00f774382aa12db2987ab9d57
- Size of remote file:
- 2.84 GB
- SHA256:
- cd7f7e87584ea11bd47198778a4c8b9997be18b9298926a274fa5f4b64d492e2
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