Instructions to use PoseyATX/FoxHunter_V0.02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PoseyATX/FoxHunter_V0.02 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="PoseyATX/FoxHunter_V0.02")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PoseyATX/FoxHunter_V0.02") model = AutoModelForSeq2SeqLM.from_pretrained("PoseyATX/FoxHunter_V0.02", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 2821682880
- CO2 Emissions (in grams): 183.0032
Validation Metrics
- Loss: 1.394
- Rouge1: 56.947
- Rouge2: 38.622
- RougeL: 46.316
- RougeLsum: 50.690
- Gen Len: 116.246
Usage
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/PoseyATX/autotrain-fenrir_zero_test_two-2821682880
- Downloads last month
- -