Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Ethan615/try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ethan615/try with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ethan615/try")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ethan615/try") model = AutoModelForSequenceClassification.from_pretrained("Ethan615/try", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download run-4/checkpoint-804/optimizer.pt from Ethan615/try: direct link, hf CLI and curl.
- Browser
- Download file 536 MB
-
https://huggingface.co/Ethan615/try/resolve/main/run-4/checkpoint-804/optimizer.pt
- Command line
-
hf download hf://Ethan615/try/run-4/checkpoint-804/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Ethan615/try/resolve/main/run-4/checkpoint-804/optimizer.pt
536 MB
- Xet hash:
- 9c2738a8f5f507f41b011af509824d14dc3066c3f0c8a194461fb343a625fd85
- Size of remote file:
- 536 MB
- SHA256:
- 8b803593355a07b8d7756d9ebcb9cbf39e517bc7aa81a9b269d61d9805a6cbde
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