Instructions to use internlm/internlm-xcomposer2-4khd-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internlm/internlm-xcomposer2-4khd-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="internlm/internlm-xcomposer2-4khd-7b", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("internlm/internlm-xcomposer2-4khd-7b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 176 Bytes
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"_from_model_config": true,
"bos_token_id": 1,
"eos_token_id": 2,
"max_length": 4480,
"pad_token_id": 2,
"transformers_version": "4.33.1",
"use_cache": false
}
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