Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use leomaurodesenv/nli-MiniLM2-L6-H768-jailbreakv-28k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leomaurodesenv/nli-MiniLM2-L6-H768-jailbreakv-28k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leomaurodesenv/nli-MiniLM2-L6-H768-jailbreakv-28k")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leomaurodesenv/nli-MiniLM2-L6-H768-jailbreakv-28k") model = AutoModelForSequenceClassification.from_pretrained("leomaurodesenv/nli-MiniLM2-L6-H768-jailbreakv-28k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from leomaurodesenv/nli-MiniLM2-L6-H768-jailbreakv-28k: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/leomaurodesenv/nli-MiniLM2-L6-H768-jailbreakv-28k/resolve/main/training_args.bin
- Command line
-
hf download hf://leomaurodesenv/nli-MiniLM2-L6-H768-jailbreakv-28k/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/leomaurodesenv/nli-MiniLM2-L6-H768-jailbreakv-28k/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- c64e0faf52aeeaefe93d1beb512eff06f941c3f1288b3f7b96b38e2ae165667a
- Size of remote file:
- 5.27 kB
- SHA256:
- bcc22013226dba7067680945af56a46606658eece322e4395da40fa93e94188e
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