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:
- eb4f43a1c1a12d7da649b052a3c0231ad17bc9341bb4328dc859ef8345f487ee
- Size of remote file:
- 7.22 kB
- SHA256:
- 3f4f1b6aeb3c9da075a0df3a2d551f9e37d39b99a7f1b104dff83c2bcfd3c07d
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