Instructions to use ngocminhta/roberta-sensitive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ngocminhta/roberta-sensitive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ngocminhta/roberta-sensitive")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ngocminhta/roberta-sensitive") model = AutoModelForSequenceClassification.from_pretrained("ngocminhta/roberta-sensitive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ngocminhta/roberta-sensitive: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/ngocminhta/roberta-sensitive/resolve/main/model.safetensors
- Command line
-
hf download hf://ngocminhta/roberta-sensitive/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ngocminhta/roberta-sensitive/resolve/main/model.safetensors
499 MB
- Xet hash:
- bbc147c3b48522f8f585515c48a2a19072ff4ef2c1caf5b522551ea75a6094cd
- Size of remote file:
- 499 MB
- SHA256:
- 7e27914b66fc75d46b0208320f438d83d1a0353c88d3879431d171e998362daf
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