Instructions to use eci-io/climategpt-7b-fsg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use eci-io/climategpt-7b-fsg with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="eci-io/climategpt-7b-fsg")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("eci-io/climategpt-7b-fsg")
model = AutoModelForMultimodalLM.from_pretrained("eci-io/climategpt-7b-fsg")
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 eci-io/climategpt-7b-fsg with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "eci-io/climategpt-7b-fsg"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "eci-io/climategpt-7b-fsg",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/eci-io/climategpt-7b-fsg

SGLang

How to use eci-io/climategpt-7b-fsg 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 "eci-io/climategpt-7b-fsg" \
    --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": "eci-io/climategpt-7b-fsg",
		"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 "eci-io/climategpt-7b-fsg" \
        --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": "eci-io/climategpt-7b-fsg",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use eci-io/climategpt-7b-fsg with Docker Model Runner:
```
docker model run hf.co/eci-io/climategpt-7b-fsg
```

tjbrunk commited on Jan 18, 2024

Commit

fcbb523

verified ·

1 Parent(s): 4e6a587

fix anchor

Browse files

Signed-off-by: Tyler <tyler@brinkfamily.us>

Files changed (1) hide show

.integrity.anchor.json +4 -4

.integrity.anchor.json CHANGED Viewed

@@ -1,11 +1,11 @@
 {
-  "iroh": "bafkr4iaiux4qoqxepvovbsiv2kbraqi5oe3x67ftuhynnuulwribbzez3q",
-  "ipfs": "bafybeich2dkc2ksaduaotcawazzlcmo7q4v6junipe2vph3runruks44b4",
   "anchors": [
     {
       "type": "hcs",
-      "id": "0x5a0d7b6bf0b89b4ab7720dd9156c4e7b68bdc4ad8dd697d73379799ac1d6bfa35a3b6207f5b88c5b93d87d4be4589056",
-      "link": "https://hashscan.io/mainnet/transaction/1705548461.947977003"
     }
   ]
 }

 {
+  "iroh": "bafkr4iemwd5acwogl3sy2dljq2qpfgxtfdym7g4skzfyq6jgfl4q4uhh5y",
+  "ipfs": "bafybeicj66aujmsvaveguk5oqawqwmtoiar5krmjfal6sm5tbwc6zjxcwe",
   "anchors": [
     {
       "type": "hcs",
+      "id": "0x12aabdb0f6226541187219dd63d69d1678e3b8c8047102085225a50854e5f4502497c01cb462a23eed2cc7b5d0948830",
+      "link": "https://hashscan.io/mainnet/transaction/1705548509.001872755"
     }
   ]
 }