Instructions to use InstaDeepAI/ChatNT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/ChatNT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="InstaDeepAI/ChatNT", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InstaDeepAI/ChatNT", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use InstaDeepAI/ChatNT with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "InstaDeepAI/ChatNT" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "InstaDeepAI/ChatNT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/InstaDeepAI/ChatNT
- SGLang
How to use InstaDeepAI/ChatNT 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 "InstaDeepAI/ChatNT" \ --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": "InstaDeepAI/ChatNT", "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 "InstaDeepAI/ChatNT" \ --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": "InstaDeepAI/ChatNT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use InstaDeepAI/ChatNT with Docker Model Runner:
docker model run hf.co/InstaDeepAI/ChatNT
Commit ·
4f64cd9
1
Parent(s): fa121ee
Update README.md
Browse files
README.md
CHANGED
|
@@ -47,6 +47,8 @@ generated_english_sequence = pipe(
|
|
| 47 |
"dna_sequences": dna_sequences
|
| 48 |
}
|
| 49 |
)
|
|
|
|
|
|
|
| 50 |
```
|
| 51 |
|
| 52 |
A small snippet of code is given here in order to **infer with the model without any abstraction (low-level)**.
|
|
@@ -74,4 +76,6 @@ outs = model(
|
|
| 74 |
projection_english_tokens_ids=english_tokens,
|
| 75 |
projected_bio_embeddings=None,
|
| 76 |
)
|
|
|
|
|
|
|
| 77 |
```
|
|
|
|
| 47 |
"dna_sequences": dna_sequences
|
| 48 |
}
|
| 49 |
)
|
| 50 |
+
|
| 51 |
+
# Expected output: "??"
|
| 52 |
```
|
| 53 |
|
| 54 |
A small snippet of code is given here in order to **infer with the model without any abstraction (low-level)**.
|
|
|
|
| 76 |
projection_english_tokens_ids=english_tokens,
|
| 77 |
projected_bio_embeddings=None,
|
| 78 |
)
|
| 79 |
+
|
| 80 |
+
# Expected output: Dictionary of logits and projected_bio_embeddings
|
| 81 |
```
|