Instructions to use jumelet/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jumelet/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="jumelet/test")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jumelet/test") model = AutoModelForCausalLM.from_pretrained("jumelet/test") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use jumelet/test with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jumelet/test" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jumelet/test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/jumelet/test
- SGLang
How to use jumelet/test 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 "jumelet/test" \ --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": "jumelet/test", "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 "jumelet/test" \ --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": "jumelet/test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use jumelet/test with Docker Model Runner:
docker model run hf.co/jumelet/test
Training in progress, step 1
Browse files- config.json +5 -5
- pytorch_model.bin +2 -2
- tokenizer.json +71 -19
- training_args.bin +2 -2
config.json
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd":
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"n_head":
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"n_inner": null,
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"n_layer":
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"n_positions":
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"torch_dtype": "float32",
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"transformers_version": "4.30.2",
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"use_cache": true,
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"vocab_size":
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}
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 16,
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"n_head": 2,
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"n_inner": null,
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"n_layer": 2,
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"n_positions": 400,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"torch_dtype": "float32",
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"transformers_version": "4.30.2",
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"use_cache": true,
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"vocab_size": 175
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size
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oid sha256:2ee50424ac4caf42bfb0f3c337b508beb2bcb95a191bab7dbe6327afe2527eae
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size 72130
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tokenizer.json
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"<pad>": 1,
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"<mask>": 2,
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"<bos>": 3,
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},
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"unk_token": "<unk>"
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}
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"<pad>": 1,
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"<mask>": 2,
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"<bos>": 3,
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".": 4,
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"the": 5,
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",": 12,
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"was": 13,
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"none": 25,
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"Today": 26,
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"did": 27,
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"Bible": 28,
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"should": 29,
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"there": 30,
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"what": 31,
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"But": 33,
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"boy": 34,
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"mattered": 47,
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"world": 49,
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"They": 50,
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"cows": 51,
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"finally": 52,
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"care": 55,
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"grass": 56,
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"happened": 57,
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"them": 59,
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"told": 60,
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"class": 61,
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"sure": 66,
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"Because": 67,
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"even": 68,
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"like": 69,
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"narrowed": 70,
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"of": 72,
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"quite": 73,
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"virtue": 74
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},
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"unk_token": "<unk>"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d7b22f3f0bde98bd24bb691f22a39d592a4706b120d3d5f9421c2dfebfed752
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size 4408
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