Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ubermenchh/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ubermenchh/tmp_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ubermenchh/tmp_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ubermenchh/tmp_trainer") model = AutoModelForSequenceClassification.from_pretrained("ubermenchh/tmp_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 919e8e167f8050577ef516aeda8d8dc2f81a6e41ee32884f1d4f85ec06b25d23
- Size of remote file:
- 4.54 kB
- SHA256:
- e55f290a61ffa3b7a86d82747506c6f79254c08757ae416e30be65316412c93c
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