Instructions to use luohy/ESP-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luohy/ESP-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="luohy/ESP-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("luohy/ESP-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("luohy/ESP-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 709cc848f018829c5b33744b1ed02dfa6f0b183aff62b2304d9ac8cfbf6a9c64
- Size of remote file:
- 1.42 GB
- SHA256:
- 191384b3e9b718243ef558cbe14e44ebed07e15fc683f6b62e84b0b3f1c81bb6
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