Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use adriansanz/test4_balanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adriansanz/test4_balanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adriansanz/test4_balanced")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adriansanz/test4_balanced") model = AutoModelForSequenceClassification.from_pretrained("adriansanz/test4_balanced", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d08bab7034d5c5ab166289f764e96f08fceb60f6abcfceedefdf5b4df3640d83
- Size of remote file:
- 4.92 kB
- SHA256:
- 3f1769cf10b55535f1a27a7c02b675fb1cd605b8ced250e344e71692f4f957e0
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