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:
- 4c08a489aba4006f88974ac25e06a53a54c9626502bd526e49a71914a6445466
- Size of remote file:
- 166 kB
- SHA256:
- 7cc4af4d6cb7dd287c586474bbeca43cca20c1d20b63f910f822850be0c08c58
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