Instructions to use safaf45252/MyAwesomeModel-TestRepository with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use safaf45252/MyAwesomeModel-TestRepository with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="safaf45252/MyAwesomeModel-TestRepository")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("safaf45252/MyAwesomeModel-TestRepository") model = AutoModel.from_pretrained("safaf45252/MyAwesomeModel-TestRepository", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint_selection.json from safaf45252/MyAwesomeModel-TestRepository: direct link, hf CLI and curl.
- Browser
- Download file 8.13 kB
-
https://huggingface.co/safaf45252/MyAwesomeModel-TestRepository/resolve/main/checkpoint_selection.json
- Command line
-
hf download hf://safaf45252/MyAwesomeModel-TestRepository/checkpoint_selection.json
-
curl -L -o checkpoint_selection.json https://huggingface.co/safaf45252/MyAwesomeModel-TestRepository/resolve/main/checkpoint_selection.json
8.13 kB
| { | |
| "artifact_warning": "pytorch_model.bin contains 23 bytes of dummy binary data, not usable model weights", | |
| "metric_source": "Step-based synthetic scoring formulas recovered from Cython source comments in evaluation/utils/benchmark_utils.c; not model inference", | |
| "overall_score": 0.71, | |
| "rankings": [ | |
| { | |
| "benchmark_scores": { | |
| "code_generation": 0.65, | |
| "common_sense": 0.736, | |
| "creative_writing": 0.61, | |
| "dialogue_generation": 0.644, | |
| "instruction_following": 0.758, | |
| "knowledge_retrieval": 0.676, | |
| "logical_reasoning": 0.819, | |
| "math_reasoning": 0.55, | |
| "question_answering": 0.607, | |
| "reading_comprehension": 0.7, | |
| "safety_evaluation": 0.739, | |
| "sentiment_analysis": 0.792, | |
| "summarization": 0.767, | |
| "text_classification": 0.828, | |
| "translation": 0.804 | |
| }, | |
| "checkpoint": "checkpoints/step_1000", | |
| "overall_score": 0.71, | |
| "step": 1000, | |
| "unrounded_overall_score": 0.7100774193548387 | |
| }, | |
| { | |
| "benchmark_scores": { | |
| "code_generation": 0.636, | |
| "common_sense": 0.727, | |
| "creative_writing": 0.595, | |
| "dialogue_generation": 0.634, | |
| "instruction_following": 0.75, | |
| "knowledge_retrieval": 0.67, | |
| "logical_reasoning": 0.801, | |
| "math_reasoning": 0.537, | |
| "question_answering": 0.6, | |
| "reading_comprehension": 0.689, | |
| "safety_evaluation": 0.732, | |
| "sentiment_analysis": 0.786, | |
| "summarization": 0.759, | |
| "text_classification": 0.82, | |
| "translation": 0.8 | |
| }, | |
| "checkpoint": "checkpoints/step_900", | |
| "overall_score": 0.7, | |
| "step": 900, | |
| "unrounded_overall_score": 0.7003419354838709 | |
| }, | |
| { | |
| "benchmark_scores": { | |
| "code_generation": 0.619, | |
| "common_sense": 0.717, | |
| "creative_writing": 0.577, | |
| "dialogue_generation": 0.624, | |
| "instruction_following": 0.741, | |
| "knowledge_retrieval": 0.662, | |
| "logical_reasoning": 0.773, | |
| "math_reasoning": 0.522, | |
| "question_answering": 0.593, | |
| "reading_comprehension": 0.677, | |
| "safety_evaluation": 0.725, | |
| "sentiment_analysis": 0.78, | |
| "summarization": 0.75, | |
| "text_classification": 0.809, | |
| "translation": 0.795 | |
| }, | |
| "checkpoint": "checkpoints/step_800", | |
| "overall_score": 0.689, | |
| "step": 800, | |
| "unrounded_overall_score": 0.6886580645161291 | |
| }, | |
| { | |
| "benchmark_scores": { | |
| "code_generation": 0.6, | |
| "common_sense": 0.705, | |
| "creative_writing": 0.557, | |
| "dialogue_generation": 0.611, | |
| "instruction_following": 0.73, | |
| "knowledge_retrieval": 0.653, | |
| "logical_reasoning": 0.731, | |
| "math_reasoning": 0.506, | |
| "question_answering": 0.584, | |
| "reading_comprehension": 0.663, | |
| "safety_evaluation": 0.717, | |
| "sentiment_analysis": 0.772, | |
| "summarization": 0.739, | |
| "text_classification": 0.795, | |
| "translation": 0.788 | |
| }, | |
| "checkpoint": "checkpoints/step_700", | |
| "overall_score": 0.674, | |
| "step": 700, | |
| "unrounded_overall_score": 0.6741354838709677 | |
| }, | |
| { | |
| "benchmark_scores": { | |
| "code_generation": 0.577, | |
| "common_sense": 0.69, | |
| "creative_writing": 0.534, | |
| "dialogue_generation": 0.596, | |
| "instruction_following": 0.717, | |
| "knowledge_retrieval": 0.643, | |
| "logical_reasoning": 0.675, | |
| "math_reasoning": 0.487, | |
| "question_answering": 0.575, | |
| "reading_comprehension": 0.645, | |
| "safety_evaluation": 0.707, | |
| "sentiment_analysis": 0.762, | |
| "summarization": 0.725, | |
| "text_classification": 0.776, | |
| "translation": 0.78 | |
| }, | |
| "checkpoint": "checkpoints/step_600", | |
| "overall_score": 0.656, | |
| "step": 600, | |
| "unrounded_overall_score": 0.6562451612903226 | |
| }, | |
| { | |
| "benchmark_scores": { | |
| "code_generation": 0.55, | |
| "common_sense": 0.672, | |
| "creative_writing": 0.507, | |
| "dialogue_generation": 0.579, | |
| "instruction_following": 0.7, | |
| "knowledge_retrieval": 0.631, | |
| "logical_reasoning": 0.605, | |
| "math_reasoning": 0.467, | |
| "question_answering": 0.564, | |
| "reading_comprehension": 0.625, | |
| "safety_evaluation": 0.696, | |
| "sentiment_analysis": 0.75, | |
| "summarization": 0.707, | |
| "text_classification": 0.75, | |
| "translation": 0.769 | |
| }, | |
| "checkpoint": "checkpoints/step_500", | |
| "overall_score": 0.635, | |
| "step": 500, | |
| "unrounded_overall_score": 0.6346258064516129 | |
| }, | |
| { | |
| "benchmark_scores": { | |
| "code_generation": 0.517, | |
| "common_sense": 0.65, | |
| "creative_writing": 0.475, | |
| "dialogue_generation": 0.557, | |
| "instruction_following": 0.679, | |
| "knowledge_retrieval": 0.615, | |
| "logical_reasoning": 0.525, | |
| "math_reasoning": 0.443, | |
| "question_answering": 0.55, | |
| "reading_comprehension": 0.6, | |
| "safety_evaluation": 0.683, | |
| "sentiment_analysis": 0.733, | |
| "summarization": 0.683, | |
| "text_classification": 0.714, | |
| "translation": 0.755 | |
| }, | |
| "checkpoint": "checkpoints/step_400", | |
| "overall_score": 0.608, | |
| "step": 400, | |
| "unrounded_overall_score": 0.6079548387096775 | |
| }, | |
| { | |
| "benchmark_scores": { | |
| "code_generation": 0.475, | |
| "common_sense": 0.621, | |
| "creative_writing": 0.436, | |
| "dialogue_generation": 0.53, | |
| "instruction_following": 0.65, | |
| "knowledge_retrieval": 0.596, | |
| "logical_reasoning": 0.445, | |
| "math_reasoning": 0.415, | |
| "question_answering": 0.533, | |
| "reading_comprehension": 0.569, | |
| "safety_evaluation": 0.668, | |
| "sentiment_analysis": 0.71, | |
| "summarization": 0.65, | |
| "text_classification": 0.667, | |
| "translation": 0.733 | |
| }, | |
| "checkpoint": "checkpoints/step_300", | |
| "overall_score": 0.576, | |
| "step": 300, | |
| "unrounded_overall_score": 0.5755677419354839 | |
| }, | |
| { | |
| "benchmark_scores": { | |
| "code_generation": 0.421, | |
| "common_sense": 0.583, | |
| "creative_writing": 0.388, | |
| "dialogue_generation": 0.493, | |
| "instruction_following": 0.61, | |
| "knowledge_retrieval": 0.57, | |
| "logical_reasoning": 0.375, | |
| "math_reasoning": 0.383, | |
| "question_answering": 0.51, | |
| "reading_comprehension": 0.529, | |
| "safety_evaluation": 0.65, | |
| "sentiment_analysis": 0.675, | |
| "summarization": 0.6, | |
| "text_classification": 0.603, | |
| "translation": 0.7 | |
| }, | |
| "checkpoint": "checkpoints/step_200", | |
| "overall_score": 0.535, | |
| "step": 200, | |
| "unrounded_overall_score": 0.5351032258064516 | |
| }, | |
| { | |
| "benchmark_scores": { | |
| "code_generation": 0.35, | |
| "common_sense": 0.53, | |
| "creative_writing": 0.328, | |
| "dialogue_generation": 0.438, | |
| "instruction_following": 0.55, | |
| "knowledge_retrieval": 0.529, | |
| "logical_reasoning": 0.319, | |
| "math_reasoning": 0.345, | |
| "question_answering": 0.475, | |
| "reading_comprehension": 0.475, | |
| "safety_evaluation": 0.628, | |
| "sentiment_analysis": 0.617, | |
| "summarization": 0.517, | |
| "text_classification": 0.517, | |
| "translation": 0.64 | |
| }, | |
| "checkpoint": "checkpoints/step_100", | |
| "overall_score": 0.48, | |
| "step": 100, | |
| "unrounded_overall_score": 0.4803161290322581 | |
| } | |
| ], | |
| "repository": "safaf45252/MyAwesomeModel-TestRepository", | |
| "selected_checkpoint": "checkpoints/step_1000", | |
| "selection_criterion": "Maximum overall weighted score defined by evaluation/eval.py across all 15 benchmark categories", | |
| "sha256": { | |
| "config.json": "7087b54618ddc9cd146c068edaae90d07ca5227b4a0d9bdc9f54e3c03d4dcd39", | |
| "pytorch_model.bin": "965362299a238de576a92dfdd3e32aea7a2bacc94b2c41541c8c9258b923f587" | |
| }, | |
| "verification": "Exact evaluator aggregation independently checked against its weights; all 10 checkpoints and all 15 categories evaluated" | |
| } | |