Text Generation
Transformers
Safetensors
qwen2
Generated from Trainer
conversational
text-generation-inference
Instructions to use JenniferHJF/qwen1.5-emoji-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JenniferHJF/qwen1.5-emoji-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="JenniferHJF/qwen1.5-emoji-finetuned") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("JenniferHJF/qwen1.5-emoji-finetuned") model = AutoModelForCausalLM.from_pretrained("JenniferHJF/qwen1.5-emoji-finetuned") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use JenniferHJF/qwen1.5-emoji-finetuned with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "JenniferHJF/qwen1.5-emoji-finetuned" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "JenniferHJF/qwen1.5-emoji-finetuned", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/JenniferHJF/qwen1.5-emoji-finetuned
- SGLang
How to use JenniferHJF/qwen1.5-emoji-finetuned 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 "JenniferHJF/qwen1.5-emoji-finetuned" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "JenniferHJF/qwen1.5-emoji-finetuned", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "JenniferHJF/qwen1.5-emoji-finetuned" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "JenniferHJF/qwen1.5-emoji-finetuned", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use JenniferHJF/qwen1.5-emoji-finetuned with Docker Model Runner:
docker model run hf.co/JenniferHJF/qwen1.5-emoji-finetuned
Training in progress, step 2036, checkpoint
Browse files- last-checkpoint/config.json +28 -0
- last-checkpoint/generation_config.json +12 -0
- last-checkpoint/model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/trainer_state.json +1455 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5504,
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"max_position_embeddings": 32768,
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"max_window_layers": 21,
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"model_type": "qwen2",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"num_key_value_heads": 16,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"sliding_window": 32768,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.51.3",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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last-checkpoint/generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"repetition_penalty": 1.1,
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"top_p": 0.8,
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"transformers_version": "4.51.3"
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}
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last-checkpoint/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e02ee0e3091a12bc5abb031e386a74a22cb9bdc622a9842d1c9722a565b8c7c1
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size 3673690696
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last-checkpoint/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb86ff67aa4c157e4b6eff3a0004aa92b27aa127bec34b95e5c548603ce0a291
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size 7347565686
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last-checkpoint/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d9cd6a0487226e5bd30d1846894c82af483733ab4381b75bae9c0745e05d405
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size 14244
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last-checkpoint/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:09933cc0b85c7ce3d86d14a8c13caccc68575168a9217284ecd221f1cc79411a
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size 1064
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last-checkpoint/trainer_state.json
ADDED
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