Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use reevan/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reevan/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="reevan/model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("reevan/model") model = AutoModelForSequenceClassification.from_pretrained("reevan/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0e94a6bc9d4576d115ee0970032ef691501160323332c20daf3db4ef6cd7bc8
- Size of remote file:
- 499 MB
- SHA256:
- b297ca6257d8293120303e5db9f107f590fbf16009373f1bddb3437f9573a11d
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