Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use quikli/text-classification-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use quikli/text-classification-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="quikli/text-classification-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("quikli/text-classification-test") model = AutoModelForSequenceClassification.from_pretrained("quikli/text-classification-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from quikli/text-classification-test: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/quikli/text-classification-test/resolve/main/training_args.bin
- Command line
-
hf download hf://quikli/text-classification-test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/quikli/text-classification-test/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- bc6e25dd81abc5617a35c0142038224d200b9fd83579deb2cd12872501e87cac
- Size of remote file:
- 5.84 kB
- SHA256:
- 445105fc6c3708fb4a0a8923a9e6525dc40fe0e17c9b095f39be64430a922989
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