Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use CornCube/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CornCube/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CornCube/my_awesome_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CornCube/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("CornCube/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CornCube/my_awesome_model: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/CornCube/my_awesome_model/resolve/main/training_args.bin
- Command line
-
hf download hf://CornCube/my_awesome_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CornCube/my_awesome_model/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- e30cc81e94aaf6be50c4bd976512d24f75172279e019e705bc91fbb081874537
- Size of remote file:
- 4.98 kB
- SHA256:
- 5e8689f52953327bf4e4b0a9741178f26593ce52114a64e186a14f09e2832bbd
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