Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use leomaurodesenv/distilbert-base-uncased-nvidia-aegis-v2-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leomaurodesenv/distilbert-base-uncased-nvidia-aegis-v2-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leomaurodesenv/distilbert-base-uncased-nvidia-aegis-v2-augmented")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leomaurodesenv/distilbert-base-uncased-nvidia-aegis-v2-augmented") model = AutoModelForSequenceClassification.from_pretrained("leomaurodesenv/distilbert-base-uncased-nvidia-aegis-v2-augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from leomaurodesenv/distilbert-base-uncased-nvidia-aegis-v2-augmented: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/leomaurodesenv/distilbert-base-uncased-nvidia-aegis-v2-augmented/resolve/35d1c80f8aa92a048bed48759bc4edaeb861b0e1/training_args.bin
- Command line
-
hf download hf://leomaurodesenv/distilbert-base-uncased-nvidia-aegis-v2-augmented@35d1c80f8aa92a048bed48759bc4edaeb861b0e1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/leomaurodesenv/distilbert-base-uncased-nvidia-aegis-v2-augmented/resolve/35d1c80f8aa92a048bed48759bc4edaeb861b0e1/training_args.bin
5.27 kB
- Xet hash:
- 1fe4cf3487c7bc4a6f6e1c544d92b35771e64b56b6f4b779b180b75e3699bc62
- Size of remote file:
- 5.27 kB
- SHA256:
- 31b9cb928a3981518710d188d353f1237aa069541329dc4f6f6eef0d5e8e9819
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