Text Classification
Transformers
TensorBoard
Safetensors
English
llama
text-generation
llama-factory
full
Generated from Trainer
text-embeddings-inference
Instructions to use Rakancorle1/ThinkGuard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rakancorle1/ThinkGuard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rakancorle1/ThinkGuard")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Rakancorle1/ThinkGuard") model = AutoModelForCausalLM.from_pretrained("Rakancorle1/ThinkGuard") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 6a1d19fcac31ea41497a0f719c9db346cac745f3412f1feded895f08322aaa89
- Size of remote file:
- 289 kB
- SHA256:
- b8f07423bb00548d26641c2968149de4244bd0e99aa1219c074432f5c30b88ca
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