Text Classification
Transformers
Safetensors
English
Chinese
llama
text-generation
llama3
chinese
function-calling
text-embeddings-inference
Instructions to use ivilson/llama3-8b-chinese-function-calling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ivilson/llama3-8b-chinese-function-calling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ivilson/llama3-8b-chinese-function-calling")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ivilson/llama3-8b-chinese-function-calling") model = AutoModelForCausalLM.from_pretrained("ivilson/llama3-8b-chinese-function-calling", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8dc27a911d2d274afb39f89bbe7f6ae8a80e7a0b924c155640f3579d222d645
- Size of remote file:
- 956 MB
- SHA256:
- 654e859b308ca7340379c774d001616dd7f07d1993772db36a5f17fb2451df34
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