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:
- 2f004a139d1305fc6bdd81cd2a0725aadc0c34d11e51b407eeb19b68940492d1
- Size of remote file:
- 268 MB
- SHA256:
- 4e99fc7312a7e6c5b60ef4012d28db7e29075ece02023cea6b23e337efbcdd74
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