Text Classification
Transformers
Safetensors
English
distilbert
moderation
filtering
offensive
clean
Eval Results (legacy)
Eval Results
text-embeddings-inference
Instructions to use aksern/ftan-2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aksern/ftan-2.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aksern/ftan-2.5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aksern/ftan-2.5") model = AutoModelForSequenceClassification.from_pretrained("aksern/ftan-2.5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aksern/ftan-2.5: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/aksern/ftan-2.5/resolve/main/training_args.bin
- Command line
-
hf download hf://aksern/ftan-2.5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aksern/ftan-2.5/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- 29734fb46a8bdbd5a65c58f40448fd625ed098f671ab445c8574da0cc2fb6128
- Size of remote file:
- 5.2 kB
- SHA256:
- cb8706aa531daaedddce33b5dacc9bec06d3facf4a0c3b16dd9ba103cb2c6d38
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