Instructions to use Edgar404/base_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edgar404/base_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="Edgar404/base_model")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("Edgar404/base_model") model = AutoModelForImageTextToText.from_pretrained("Edgar404/base_model") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Edgar404/base_model with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Edgar404/base_model" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Edgar404/base_model", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Edgar404/base_model
- SGLang
How to use Edgar404/base_model with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Edgar404/base_model" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Edgar404/base_model", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Edgar404/base_model" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Edgar404/base_model", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Edgar404/base_model with Docker Model Runner:
docker model run hf.co/Edgar404/base_model
Base model
Browse files- config.json +1 -1
- generation_config.json +1 -1
- model.safetensors +1 -1
config.json
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"pad_token_id": 1,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.41.
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}
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"pad_token_id": 1,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.41.2"
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}
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generation_config.json
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"forced_eos_token_id": 2,
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"max_length": 512,
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"pad_token_id": 1,
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"transformers_version": "4.41.
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}
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"forced_eos_token_id": 2,
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"max_length": 512,
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"pad_token_id": 1,
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"transformers_version": "4.41.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c25f19bd3fd7e4c11de5b171124526db9567ca042b70a233c95ca03744a6067d
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size 809115800
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