Instructions to use Finisha-F-scratch/Pikyname with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Finisha-F-scratch/Pikyname with Transformers:

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

pipe = pipeline("text-generation", model="Finisha-F-scratch/Pikyname")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Finisha-F-scratch/Pikyname")
model = AutoModelForCausalLM.from_pretrained("Finisha-F-scratch/Pikyname", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Finisha-F-scratch/Pikyname with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Finisha-F-scratch/Pikyname

SGLang

How to use Finisha-F-scratch/Pikyname 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 "Finisha-F-scratch/Pikyname" \
    --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": "Finisha-F-scratch/Pikyname",
		"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 "Finisha-F-scratch/Pikyname" \
        --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": "Finisha-F-scratch/Pikyname",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Finisha-F-scratch/Pikyname with Docker Model Runner:
```
docker model run hf.co/Finisha-F-scratch/Pikyname
```

Clemylia commited on Mar 22

Commit

65ae13f

verified ·

1 Parent(s): 2997a8d

Premier modèle d'architecture gemma from scratch

Browse files

Files changed (2) hide show

tokenizer.json +4 -4
tokenizer_config.json +2 -2

tokenizer.json CHANGED Viewed

@@ -64,7 +64,7 @@
     },
     {
       "id": 5,
-      "content": "Question:",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
@@ -73,7 +73,7 @@
     },
     {
       "id": 6,
-      "content": "Réponse:",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
@@ -148,8 +148,8 @@
       "<s>": 2,
       "<unk>": 3,
       "<mask>": 4,
-      "Question:": 5,
-      "Réponse:": 6,
       "e": 7,
       "C": 8,
       "r": 9,

     },
     {
       "id": 5,
+      "content": "Ever:",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
     },
     {
       "id": 6,
+      "content": "Small:",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
       "<s>": 2,
       "<unk>": 3,
       "<mask>": 4,
+      "Ever:": 5,
+      "Small:": 6,
       "e": 7,
       "C": 8,
       "r": 9,

tokenizer_config.json CHANGED Viewed

@@ -7,8 +7,8 @@
     "</s>",
     "<s>",
     "<mask>",
-    "Question:",
-    "Réponse:"
   ],
   "is_local": true,
   "mask_token": "<mask>",

     "</s>",
     "<s>",
     "<mask>",
+    "Ever:",
+    "Small:"
   ],
   "is_local": true,
   "mask_token": "<mask>",