Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use roscazo/finetuning-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/finetuning-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roscazo/finetuning-0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roscazo/finetuning-0") model = AutoModelForSequenceClassification.from_pretrained("roscazo/finetuning-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9180c4822880115d3a154d5cfad3d0603bcbbe400c9e7c187d9ea872f7b8653d
- Size of remote file:
- 499 MB
- SHA256:
- 99b2881c106a8dec187abd81e43e902e4d50c25663ac3b187136320bb7b89bed
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