Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ayatsuri/mentalroberta-rmi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayatsuri/mentalroberta-rmi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ayatsuri/mentalroberta-rmi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ayatsuri/mentalroberta-rmi") model = AutoModelForSequenceClassification.from_pretrained("ayatsuri/mentalroberta-rmi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84fc2133b45895126c9c4c82da399ed1ea46734a6ddb70085cd8ec58fdd041b4
- Size of remote file:
- 5.2 kB
- SHA256:
- 89a2000f588571c5050b210253beda488428bc98d112cc059ff68ec6737b473c
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