Pereki/autotrain-a6i98-d578q
By Pereki · ↓ 8 · ♥ 0 · Updated 2024-03-23
What's in this repo
This page lists the files in Pereki/autotrain-a6i98-d578q, including model.onnx.
- 1 ONNX models (.onnx files)
- 29 files, including 11 .json, 3 .bin, 2 .md, 2 .safetensors, 2 .pt, 2 .model
- Last updated 2024-03-23
ONNX files
| File | Size | Download |
|---|---|---|
| model.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(
model_path,
device_map="auto",
torch_dtype='auto'
).eval()
# Prompt content: "hi"
messages = [
{"role": "user", "content": "hi"}
]
input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
output_ids = model.generate(input_ids.to('cuda'))
response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
# Model response: "Hello! How can I assist you today?"
print(response)
Model info
text-generation
transformers
transformers
tensorboard
onnx
safetensors
distilbert
text-classification
autotrain
text-generation
peft
license:other
endpoints_compatible
region:us
↓ 8
♥ 0
Created: 2024-03-23
Updated: 2024-03-23
View on Hugging FaceFiles (29)
.gitattributes
README.md
adapter_config.json
adapter_model.safetensors
checkpoint-159/README.md
checkpoint-159/adapter_config.json
checkpoint-159/adapter_model.safetensors
checkpoint-159/optimizer.pt
checkpoint-159/pytorch_model.bin
checkpoint-159/rng_state.pth
checkpoint-159/scheduler.pt
checkpoint-159/special_tokens_map.json
checkpoint-159/tokenizer.json
checkpoint-159/tokenizer.model
checkpoint-159/tokenizer_config.json
checkpoint-159/trainer_state.json
checkpoint-159/training_args.bin
config.json
handler.py
model.onnx
ONNX
requirements.txt
runs/Mar23_13-13-43_r-pereki-ki-wsd36jc9-beb47-se1qc/events.out.tfevents.1711199624.r-pereki-ki-wsd36jc9-beb47-se1qc.75.0
special_tokens_map.json
test.py
tokenizer.json
tokenizer.model
tokenizer_config.json
training_args.bin
training_params.json
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