Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ColinCcz/roberta_mental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ColinCcz/roberta_mental with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ColinCcz/roberta_mental")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ColinCcz/roberta_mental") model = AutoModelForSequenceClassification.from_pretrained("ColinCcz/roberta_mental", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ColinCcz/roberta_mental: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/ColinCcz/roberta_mental/resolve/main/training_args.bin
- Command line
-
hf download hf://ColinCcz/roberta_mental/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ColinCcz/roberta_mental/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- e928530925670b244ebe22bd34758fdc7e18db057e6c87536c49b846eb7baa1b
- Size of remote file:
- 4.86 kB
- SHA256:
- fd6d0365f6ba74391632dda58b00edb4ce5e118678c9de8b725f8837aa5430e7
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