Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use bwahyuh/digidaw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bwahyuh/digidaw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bwahyuh/digidaw")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bwahyuh/digidaw") model = AutoModelForSequenceClassification.from_pretrained("bwahyuh/digidaw", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bwahyuh/digidaw: direct link, hf CLI and curl.
- Browser
- Download file 738 kB
-
https://huggingface.co/bwahyuh/digidaw/resolve/main/tokenizer.json
- Command line
-
hf download hf://bwahyuh/digidaw/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/bwahyuh/digidaw/resolve/main/tokenizer.json
738 kB
- Xet hash:
- 1ea970ab1e7353d4878b39440861ed0b4f77b1a5ae5f8899de14898f67c1da72
- Size of remote file:
- 738 kB
- SHA256:
- 569da783bde8185e4bc7ac63a9b6d3b53f97694aa4723c03715fd3e81eac7f22
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