Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use adriansanz/FS_27_06_normal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adriansanz/FS_27_06_normal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adriansanz/FS_27_06_normal")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adriansanz/FS_27_06_normal") model = AutoModelForSequenceClassification.from_pretrained("adriansanz/FS_27_06_normal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a8e7c7bc849b81cc8b94810fe1ab540f4c848d5965dfe4e10c11d093ee882a3
- Size of remote file:
- 5.18 kB
- SHA256:
- 2533ef8bb1038b1e0fe1a452998be1dff3c49f516a06453c70ed8e2ea6efb943
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