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:
- d5c5887446bee9fab4f66b38551a085a179895c20d78411112acbbf8ebe2c3fc
- Size of remote file:
- 166 kB
- SHA256:
- b3f40b9d20ca5b70b0530859f36bec6a500710834eba888c031a5c36871bd36d
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