Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use sai17/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sai17/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sai17/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sai17/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("sai17/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f9fb10f5588c90950d795ca341a04bbb871e05e3dc55687e2544874b1d043ec
- Size of remote file:
- 5.3 kB
- SHA256:
- a973292c1e574b8a972805ee419a915f8de18239387359490c7fe163a9a5d766
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