Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use 92amineee/TD-GETSTARTED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 92amineee/TD-GETSTARTED with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="92amineee/TD-GETSTARTED")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("92amineee/TD-GETSTARTED") model = AutoModelForSequenceClassification.from_pretrained("92amineee/TD-GETSTARTED", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from 92amineee/TD-GETSTARTED: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/92amineee/TD-GETSTARTED/resolve/main/training_args.bin
- Command line
-
hf download hf://92amineee/TD-GETSTARTED/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/92amineee/TD-GETSTARTED/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- 2226b15e38b6d2813a8dc1d339c8867d29150de67bf89bfaa3b97bb63410c783
- Size of remote file:
- 5.2 kB
- SHA256:
- 54bf0ae30dcaf5bca2fe309db1e9e0c30ecc047749e94583e9908ceb652dbc77
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