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

Libraries

How to use AdoCleanCode/Fakeddit_real_moderate with Transformers:

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

pipe = pipeline("text-generation", model="AdoCleanCode/Fakeddit_real_moderate")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AdoCleanCode/Fakeddit_real_moderate")
model = AutoModelForCausalLM.from_pretrained("AdoCleanCode/Fakeddit_real_moderate")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use AdoCleanCode/Fakeddit_real_moderate with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/AdoCleanCode/Fakeddit_real_moderate

SGLang

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

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

AdoCleanCode commited on Mar 31

Commit

77411f5

verified ·

1 Parent(s): 57cc8fd

End of training

Browse files

Files changed (2) hide show

README.md +8 -8
model.safetensors +1 -1

README.md CHANGED Viewed

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.8315
 ## Model description
@@ -47,13 +47,13 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 5.1562        | 1.0   | 14906 | 4.9737          |
-| 4.9445        | 2.0   | 29812 | 4.8704          |
-| 4.7605        | 3.0   | 44718 | 4.8337          |
-| 4.5901        | 4.0   | 59624 | 4.8243          |
-| 4.5575        | 5.0   | 74530 | 4.8315          |
 ### Framework versions

 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 4.5085
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step   | Validation Loss |
+|:-------------:|:-----:|:------:|:---------------:|
+| 4.8308        | 1.0   | 42733  | 4.6468          |
+| 4.6221        | 2.0   | 85466  | 4.5588          |
+| 4.438         | 3.0   | 128199 | 4.5221          |
+| 4.3746        | 4.0   | 170932 | 4.5083          |
+| 4.3017        | 5.0   | 213665 | 4.5085          |
 ### Framework versions

model.safetensors CHANGED Viewed

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