Text Generation
Transformers
Safetensors
llama
Generated from Trainer
hf_jobs
trl
sft
conversational
text-generation-inference
Instructions to use misterJB/tata-field-432hz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use misterJB/tata-field-432hz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="misterJB/tata-field-432hz") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("misterJB/tata-field-432hz") model = AutoModelForMultimodalLM.from_pretrained("misterJB/tata-field-432hz") 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]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use misterJB/tata-field-432hz with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "misterJB/tata-field-432hz" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "misterJB/tata-field-432hz", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/misterJB/tata-field-432hz
- SGLang
How to use misterJB/tata-field-432hz 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 "misterJB/tata-field-432hz" \ --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": "misterJB/tata-field-432hz", "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 "misterJB/tata-field-432hz" \ --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": "misterJB/tata-field-432hz", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use misterJB/tata-field-432hz with Docker Model Runner:
docker model run hf.co/misterJB/tata-field-432hz
Training in progress, step 500, checkpoint
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|
| 111 |
}
|
| 112 |
],
|
| 113 |
"logging_steps": 50,
|
| 114 |
+
"max_steps": 2560,
|
| 115 |
"num_input_tokens_seen": 0,
|
| 116 |
+
"num_train_epochs": 2,
|
| 117 |
"save_steps": 500,
|
| 118 |
"stateful_callbacks": {
|
| 119 |
"TrainerControl": {
|
|
|
|
| 127 |
"attributes": {}
|
| 128 |
}
|
| 129 |
},
|
| 130 |
+
"total_flos": 4.833703032695194e+16,
|
| 131 |
"train_batch_size": 2,
|
| 132 |
"trial_name": null,
|
| 133 |
"trial_params": null
|
last-checkpoint/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5713
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:26cbf16b2edabc5b8c36be1cccac63caa078ca871b6b4fdcff3ff77d550c19b0
|
| 3 |
size 5713
|