Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use ElMad/popular-newt-164 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElMad/popular-newt-164 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ElMad/popular-newt-164")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ElMad/popular-newt-164") model = AutoModelForSequenceClassification.from_pretrained("ElMad/popular-newt-164", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ElMad/popular-newt-164: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/ElMad/popular-newt-164/resolve/main/training_args.bin
- Command line
-
hf download hf://ElMad/popular-newt-164/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ElMad/popular-newt-164/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 35fc94351ad3b92caac7eb5947255cbd5aedbbf4e58b21f9ec7768193bacc9f8
- Size of remote file:
- 5.5 kB
- SHA256:
- 114f3dc0c817412267feda50bb7b2651f08e9a3be0a948b4ae7b5baa994d1b9a
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