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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6754daf9fac4206f7b5fb393033c99521f170ed1da810e3fa61519aa3eb1a204
- Size of remote file:
- 17.2 MB
- SHA256:
- ade1dac458f86f9bea8bf35b713f14e1bbed24228429534038e9f7e54ea3e8b6
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