Text Classification
Transformers
Safetensors
Russian
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use isa-ras/frustration-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use isa-ras/frustration-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="isa-ras/frustration-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("isa-ras/frustration-model") model = AutoModelForSequenceClassification.from_pretrained("isa-ras/frustration-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73f6879f5bfe6e35cf520336a96869ab4b5f518d2f55247740a522684e6f8c5c
- Size of remote file:
- 5.84 kB
- SHA256:
- 2a885a480d272ce43d246d2ad27bdb243ae77871f908c00ca6241a706ad59377
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