Question Answering
Transformers
Safetensors
Chinese
English
llama
text-generation
custom_code
text-generation-inference
Instructions to use FlagAlpha/Atom-7B-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FlagAlpha/Atom-7B-Chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="FlagAlpha/Atom-7B-Chat", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("FlagAlpha/Atom-7B-Chat", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("FlagAlpha/Atom-7B-Chat", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
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