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:
- 31a33ccba8fb92be6724f592a78f0612e9c5f5a6cdfc49782ff95600c80566db
- Size of remote file:
- 4.98 kB
- SHA256:
- 05c9f34d2e758e42177de593150ac6a6ad2b34ecadcc9a3212d42805b637784b
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