Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use dibkunnskap/classifier-databases-labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dibkunnskap/classifier-databases-labels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dibkunnskap/classifier-databases-labels")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dibkunnskap/classifier-databases-labels") model = AutoModelForSequenceClassification.from_pretrained("dibkunnskap/classifier-databases-labels", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dibkunnskap/classifier-databases-labels: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/dibkunnskap/classifier-databases-labels/resolve/main/training_args.bin
- Command line
-
hf download hf://dibkunnskap/classifier-databases-labels/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dibkunnskap/classifier-databases-labels/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- f4c293ea608e7d370ca6221d150d722ce5437e2c773a7d1eba2a588ceb5e9a94
- Size of remote file:
- 5.37 kB
- SHA256:
- 56bccd65b55fb22ece9b6d6e469cb55a7aeee32975aa82197be1746e54dff1b7
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