Instructions to use xeventminer/roberta-large-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xeventminer/roberta-large-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xeventminer/roberta-large-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xeventminer/roberta-large-en") model = AutoModelForSequenceClassification.from_pretrained("xeventminer/roberta-large-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from xeventminer/roberta-large-en: direct link, hf CLI and curl.
- Browser
- Download file 3.26 kB
-
https://huggingface.co/xeventminer/roberta-large-en/resolve/main/training_args.bin
- Command line
-
hf download hf://xeventminer/roberta-large-en/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/xeventminer/roberta-large-en/resolve/main/training_args.bin
3.26 kB
- Xet hash:
- c8a8663403fdae878c760035d557957288f67e55ceb2fbf544bb15872eff1c93
- Size of remote file:
- 3.26 kB
- SHA256:
- c7d4539c58068bbea033a69f3e1e40e9f698018c3a412d136f50de375b1361e3
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