Text Classification
Transformers
Safetensors
German
llama
text-generation
unsloth
trl
sft
cefr
language-proficiency
text-embeddings-inference
Instructions to use orionbits/llama-3-8b-Instruct-cefr-tuned-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orionbits/llama-3-8b-Instruct-cefr-tuned-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="orionbits/llama-3-8b-Instruct-cefr-tuned-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("orionbits/llama-3-8b-Instruct-cefr-tuned-v2") model = AutoModelForCausalLM.from_pretrained("orionbits/llama-3-8b-Instruct-cefr-tuned-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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