Instructions to use Pranilllllll/result with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pranilllllll/result with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Pranilllllll/result")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Pranilllllll/result") model = AutoModelForCausalLM.from_pretrained("Pranilllllll/result") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Pranilllllll/result with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Pranilllllll/result" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Pranilllllll/result", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Pranilllllll/result
- SGLang
How to use Pranilllllll/result 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 "Pranilllllll/result" \ --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": "Pranilllllll/result", "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 "Pranilllllll/result" \ --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": "Pranilllllll/result", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Pranilllllll/result with Docker Model Runner:
docker model run hf.co/Pranilllllll/result
Pranilllllll/gpt2_finetuned_25krows
Browse files- README.md +6 -0
- model.safetensors +1 -1
- model/model.safetensors +1 -1
README.md
CHANGED
|
@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
# result
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
|
|
|
|
|
|
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
@@ -44,10 +46,14 @@ The following hyperparameters were used during training:
|
|
| 44 |
|
| 45 |
### Training results
|
| 46 |
|
|
|
|
|
|
|
|
|
|
| 47 |
|
| 48 |
|
| 49 |
### Framework versions
|
| 50 |
|
| 51 |
- Transformers 4.47.1
|
| 52 |
- Pytorch 2.5.1+cu121
|
|
|
|
| 53 |
- Tokenizers 0.21.0
|
|
|
|
| 15 |
# result
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 1.3351
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
|
|
|
| 46 |
|
| 47 |
### Training results
|
| 48 |
|
| 49 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 50 |
+
|:-------------:|:-----:|:-----:|:---------------:|
|
| 51 |
+
| 0.8971 | 1.0 | 12725 | 1.3351 |
|
| 52 |
|
| 53 |
|
| 54 |
### Framework versions
|
| 55 |
|
| 56 |
- Transformers 4.47.1
|
| 57 |
- Pytorch 2.5.1+cu121
|
| 58 |
+
- Datasets 3.2.0
|
| 59 |
- Tokenizers 0.21.0
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 497774208
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2cf1b5629962ac1f19313d0fadbb145f82c12933735e83c5514dbb781e28508d
|
| 3 |
size 497774208
|
model/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 497774208
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2cf1b5629962ac1f19313d0fadbb145f82c12933735e83c5514dbb781e28508d
|
| 3 |
size 497774208
|