Text Classification
PEFT
Safetensors
Transformers
English
lora
audio-question-answering
correctness-assessment
orca
Instructions to use BUT-FIT/orca-llama-3.2-3b-it-multinomial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BUT-FIT/orca-llama-3.2-3b-it-multinomial with PEFT:
Task type is invalid.
- Transformers
How to use BUT-FIT/orca-llama-3.2-3b-it-multinomial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BUT-FIT/orca-llama-3.2-3b-it-multinomial")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BUT-FIT/orca-llama-3.2-3b-it-multinomial", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model/config.yaml from BUT-FIT/orca-llama-3.2-3b-it-multinomial: direct link, hf CLI and curl.
- Browser
- Download file 70 Bytes
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https://huggingface.co/BUT-FIT/orca-llama-3.2-3b-it-multinomial/resolve/main/model/config.yaml
- Command line
-
hf download hf://BUT-FIT/orca-llama-3.2-3b-it-multinomial/model/config.yaml
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curl -L -o config.yaml https://huggingface.co/BUT-FIT/orca-llama-3.2-3b-it-multinomial/resolve/main/model/config.yaml
70 Bytes
| init_type: xavier_normal | |
| score_type: multinomial | |
| use_cls_token: false | |