Instructions to use afdasfaa/MyAwesomeModel-TestRepository with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afdasfaa/MyAwesomeModel-TestRepository with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="afdasfaa/MyAwesomeModel-TestRepository")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("afdasfaa/MyAwesomeModel-TestRepository") model = AutoModel.from_pretrained("afdasfaa/MyAwesomeModel-TestRepository", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval_results.json from afdasfaa/MyAwesomeModel-TestRepository: direct link, hf CLI and curl.
- Browser
- Download file 429 Bytes
-
https://huggingface.co/afdasfaa/MyAwesomeModel-TestRepository/resolve/main/eval_results.json
- Command line
-
hf download hf://afdasfaa/MyAwesomeModel-TestRepository/eval_results.json
-
curl -L -o eval_results.json https://huggingface.co/afdasfaa/MyAwesomeModel-TestRepository/resolve/main/eval_results.json
429 Bytes
| { | |
| "math_reasoning": 0.9, | |
| "logical_reasoning": 0.92, | |
| "common_sense": 0.88, | |
| "reading_comprehension": 0.85, | |
| "question_answering": 0.8, | |
| "text_classification": 0.9, | |
| "sentiment_analysis": 0.88, | |
| "code_generation": 0.82, | |
| "creative_writing": 0.78, | |
| "dialogue_generation": 0.83, | |
| "summarization": 0.89, | |
| "translation": 0.93, | |
| "knowledge_retrieval": 0.85, | |
| "instruction_following": 0.88, | |
| "safety_evaluation": 0.87 | |
| } |