Instructions to use eliza-dukim/roberta-large-second with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eliza-dukim/roberta-large-second with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eliza-dukim/roberta-large-second")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eliza-dukim/roberta-large-second") model = AutoModelForSequenceClassification.from_pretrained("eliza-dukim/roberta-large-second", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from eliza-dukim/roberta-large-second: direct link, hf CLI and curl.
- Browser
- Download file 2.69 GB
-
https://huggingface.co/eliza-dukim/roberta-large-second/resolve/main/optimizer.pt
- Command line
-
hf download hf://eliza-dukim/roberta-large-second/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/eliza-dukim/roberta-large-second/resolve/main/optimizer.pt
2.69 GB
- Xet hash:
- b9af66894ef0ec4a83637153f4a2fa443ddcfe9af130e86e5aa209b8752b5341
- Size of remote file:
- 2.69 GB
- SHA256:
- 764b3cc2c5aa077a07d9360d33326d35290db2a6d5f55ecc95c7427946de2ef9
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