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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f4df67627f2b5012792a7bb5e0284f65a0dcce07f316f0eee10d3660cd83aba
- Size of remote file:
- 1.42 GB
- SHA256:
- 6c845503993100e2f6781b17767ee705ea097dd9bd0562eee443cc8cde04321a
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