Text Generation
Transformers
TensorBoard
Safetensors
English
mistral
text-to-text
natural-language-processing
text2text-generation
text-generation-inference
Instructions to use Indah1/BioChat10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Indah1/BioChat10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Indah1/BioChat10")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Indah1/BioChat10") model = AutoModelForCausalLM.from_pretrained("Indah1/BioChat10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Indah1/BioChat10 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Indah1/BioChat10" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Indah1/BioChat10", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Indah1/BioChat10
- SGLang
How to use Indah1/BioChat10 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 "Indah1/BioChat10" \ --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": "Indah1/BioChat10", "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 "Indah1/BioChat10" \ --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": "Indah1/BioChat10", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Indah1/BioChat10 with Docker Model Runner:
docker model run hf.co/Indah1/BioChat10
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,8 +5,12 @@ language:
|
|
| 5 |
- en
|
| 6 |
metrics:
|
| 7 |
- perplexity
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
---
|
| 9 |
-
|
| 10 |
<p align="center">
|
| 11 |
<img src="https://huggingface.co/Indah1/BioChat10/resolve/main/BioChat.png?download=true" alt="drawing" width="450"/>
|
| 12 |
</p>
|
|
|
|
| 5 |
- en
|
| 6 |
metrics:
|
| 7 |
- perplexity
|
| 8 |
+
pipeline_tag: text2text-generation
|
| 9 |
+
tags:
|
| 10 |
+
- text-to-text
|
| 11 |
+
- natural-language-processing
|
| 12 |
+
license: apache-2.0
|
| 13 |
---
|
|
|
|
| 14 |
<p align="center">
|
| 15 |
<img src="https://huggingface.co/Indah1/BioChat10/resolve/main/BioChat.png?download=true" alt="drawing" width="450"/>
|
| 16 |
</p>
|