Instructions to use Dans-DiscountModels/Dans-TextSplitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Dans-DiscountModels/Dans-TextSplitter with Transformers:

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

pipe = pipeline("text-generation", model="Dans-DiscountModels/Dans-TextSplitter")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Dans-DiscountModels/Dans-TextSplitter")
model = AutoModelForCausalLM.from_pretrained("Dans-DiscountModels/Dans-TextSplitter")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Dans-DiscountModels/Dans-TextSplitter with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Dans-DiscountModels/Dans-TextSplitter"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Dans-DiscountModels/Dans-TextSplitter",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Dans-DiscountModels/Dans-TextSplitter

SGLang

How to use Dans-DiscountModels/Dans-TextSplitter 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 "Dans-DiscountModels/Dans-TextSplitter" \
    --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": "Dans-DiscountModels/Dans-TextSplitter",
		"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 "Dans-DiscountModels/Dans-TextSplitter" \
        --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": "Dans-DiscountModels/Dans-TextSplitter",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Dans-DiscountModels/Dans-TextSplitter with Docker Model Runner:
```
docker model run hf.co/Dans-DiscountModels/Dans-TextSplitter
```

PocketDoc commited on Feb 18, 2024

Commit

a0d42d8

verified ·

1 Parent(s): 165d06a

Delete config.json

Browse files

Files changed (1) hide show

config.json +0 -33

config.json DELETED Viewed

@@ -1,33 +0,0 @@
-{
-  "_name_or_path": "stabilityai/stablelm-2-1_6b",
-  "architectures": [
-    "StableLMEpochForCausalLM"
-  ],
-  "attention_dropout": 0.0,
-  "auto_map": {
-    "AutoConfig": "configuration_stablelm_epoch.StableLMEpochConfig",
-    "AutoModelForCausalLM": "modeling_stablelm_epoch.StableLMEpochForCausalLM"
-  },
-  "bos_token_id": null,
-  "eos_token_id": 100257,
-  "hidden_act": "silu",
-  "hidden_size": 2048,
-  "initializer_range": 0.02,
-  "intermediate_size": 5632,
-  "max_position_embeddings": 4096,
-  "model_type": "stablelm_epoch",
-  "norm_eps": 1e-05,
-  "num_attention_heads": 32,
-  "num_heads": 32,
-  "num_hidden_layers": 24,
-  "num_key_value_heads": 32,
-  "rope_pct": 0.25,
-  "rope_theta": 10000,
-  "rotary_scaling_factor": 1.0,
-  "tie_word_embeddings": false,
-  "torch_dtype": "bfloat16",
-  "transformers_version": "4.38.0.dev0",
-  "use_cache": false,
-  "use_qkv_bias": true,
-  "vocab_size": 100352
-}