Instructions to use rahulchaube/rahulchaubeAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use rahulchaube/rahulchaubeAI with Transformers:

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

pipe = pipeline("text-generation", model="rahulchaube/rahulchaubeAI")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("rahulchaube/rahulchaubeAI")
model = AutoModelForCausalLM.from_pretrained("rahulchaube/rahulchaubeAI", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use rahulchaube/rahulchaubeAI with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/rahulchaube/rahulchaubeAI

SGLang

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

Docker Model Runner
How to use rahulchaube/rahulchaubeAI with Docker Model Runner:
```
docker model run hf.co/rahulchaube/rahulchaubeAI
```

rahulchaube commited on Apr 2, 2025

Commit

43d7254

verified ·

1 Parent(s): 460eb5c

Upload folder using huggingface_hub

Browse files

Files changed (3) hide show

config.json +1 -1
generation_config.json +1 -1
special_tokens_map.json +4 -28

config.json CHANGED Viewed

@@ -32,7 +32,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.50.0",
   "use_cache": true,
   "vocab_size": 50257
 }

     }
   },
   "torch_dtype": "float32",
+  "transformers_version": "4.50.2",
   "use_cache": true,
   "vocab_size": 50257
 }

generation_config.json CHANGED Viewed

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 50256,
   "eos_token_id": 50256,
-  "transformers_version": "4.50.0"
 }

   "_from_model_config": true,
   "bos_token_id": 50256,
   "eos_token_id": 50256,
+  "transformers_version": "4.50.2"
 }

special_tokens_map.json CHANGED Viewed

@@ -1,30 +1,6 @@
 {
-  "bos_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eos_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "unk_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  }
 }

 {
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
 }