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")# pip install -U transformers accelerate # 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
Download training_args.bin from tiansz/roberta-large-finetuned-disaster: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/tiansz/roberta-large-finetuned-disaster/resolve/main/training_args.bin
- Command line
-
hf download hf://tiansz/roberta-large-finetuned-disaster/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tiansz/roberta-large-finetuned-disaster/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- 78ef087e8907ca501e4b8e00da182a4337f27277396507e59bb8c7bcd030670d
- Size of remote file:
- 3.52 kB
- SHA256:
- 352a80b2f12f04786856297a6db55d6211ab4f78497a7b43255c104fcc358642
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