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/model_minus_lm.pt from BUT-FIT/orca-llama-3.2-3b-it-multinomial: direct link, hf CLI and curl.
- Browser
- Download file 63.4 kB
-
https://huggingface.co/BUT-FIT/orca-llama-3.2-3b-it-multinomial/resolve/main/model/model_minus_lm.pt
- Command line
-
hf download hf://BUT-FIT/orca-llama-3.2-3b-it-multinomial/model/model_minus_lm.pt
-
curl -L -o model_minus_lm.pt https://huggingface.co/BUT-FIT/orca-llama-3.2-3b-it-multinomial/resolve/main/model/model_minus_lm.pt
63.4 kB
- Xet hash:
- 1d2005853386fe06bfa0caffc417108c1aeebaf988f22d9297c405c5140cad8e
- Size of remote file:
- 63.4 kB
- SHA256:
- 1fc70af6740eeaef34fc2161bf416e91bead9daf6716b25f44f70f281411d058
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