Instructions to use seanpedrickcase/roberta_large_disaster_finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seanpedrickcase/roberta_large_disaster_finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="seanpedrickcase/roberta_large_disaster_finetune")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("seanpedrickcase/roberta_large_disaster_finetune") model = AutoModelForSequenceClassification.from_pretrained("seanpedrickcase/roberta_large_disaster_finetune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb49ce47a8d2e788b86a8d08420e7a60743804a510fbeb221b2fcb8d1a565365
- Size of remote file:
- 1.42 GB
- SHA256:
- 4aadcd3b72b0a0c1d407c93512284a5701e03b9b05006e585f80958c3a0dbfd9
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