Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ayatsuri/miroberta-rmi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayatsuri/miroberta-rmi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ayatsuri/miroberta-rmi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ayatsuri/miroberta-rmi") model = AutoModelForSequenceClassification.from_pretrained("ayatsuri/miroberta-rmi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73bcbc2f10940f648ab6aa37e4a56142548cf33955a7f6ffc2c6fc6df2f3cc30
- Size of remote file:
- 5.2 kB
- SHA256:
- 22625ae8e4b1dacd893126ae2a259ae615de2ece331f057e791dcba073fc9efa
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