Text Classification
Transformers
PyTorch
Safetensors
English
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use tiansz/roberta-large-finetuned-disaster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiansz/roberta-large-finetuned-disaster with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tiansz/roberta-large-finetuned-disaster")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tiansz/roberta-large-finetuned-disaster") model = AutoModelForSequenceClassification.from_pretrained("tiansz/roberta-large-finetuned-disaster", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed45fbf40f4b6d7307f0d6863b1247b9dd18310d06a2c5914736bca2163787f2
- Size of remote file:
- 1.42 GB
- SHA256:
- abf7c105910b87e825c4d9ac1bf4db93b0d4aa8609f538854be9eaf7f5865859
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