Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use smerchi/darija_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smerchi/darija_test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="smerchi/darija_test2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("smerchi/darija_test2") model = AutoModelForSequenceClassification.from_pretrained("smerchi/darija_test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from smerchi/darija_test2: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/smerchi/darija_test2/resolve/main/training_args.bin
- Command line
-
hf download hf://smerchi/darija_test2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/smerchi/darija_test2/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 97e40ff6b33fe3dca4a1e2dc5e1c9079b5fa651bf62aa945184cb56509d0a6b1
- Size of remote file:
- 5.11 kB
- SHA256:
- 08ff3c389ce82553aa5b0eccb48773db7df6e6244463f75c3714437ea95c63e6
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