Text Classification
Transformers
Safetensors
Russian
English
llama
text-generation
text-embeddings-inference
Instructions to use GigoFof/llama-3.2-3b-lv6-CSP-RU-ChatBot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GigoFof/llama-3.2-3b-lv6-CSP-RU-ChatBot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GigoFof/llama-3.2-3b-lv6-CSP-RU-ChatBot")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("GigoFof/llama-3.2-3b-lv6-CSP-RU-ChatBot") model = AutoModelForCausalLM.from_pretrained("GigoFof/llama-3.2-3b-lv6-CSP-RU-ChatBot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from GigoFof/llama-3.2-3b-lv6-CSP-RU-ChatBot: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/GigoFof/llama-3.2-3b-lv6-CSP-RU-ChatBot/resolve/main/tokenizer.json
- Command line
-
hf download hf://GigoFof/llama-3.2-3b-lv6-CSP-RU-ChatBot/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/GigoFof/llama-3.2-3b-lv6-CSP-RU-ChatBot/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 4a35e8146e78598ffc94d0c3752c5a00992ca21ef97123c88fdfb36f0932ac68
- Size of remote file:
- 17.2 MB
- SHA256:
- d1ad8691bdb90ec717c1182570a55e8a8dd789bdd8a220df600c3e56fdaaeabe
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