Instructions to use petra345/MyAwesomeModel-CompactRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petra345/MyAwesomeModel-CompactRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="petra345/MyAwesomeModel-CompactRepo")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("petra345/MyAwesomeModel-CompactRepo") model = AutoModel.from_pretrained("petra345/MyAwesomeModel-CompactRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload compact selected checkpoint artifacts
Browse files- leaderboard_digest.json +15 -3
leaderboard_digest.json
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{
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"scorecard_sha256": "91f300eaa4514b60fe2bbae017ca263ddf4b646ef51d003a692bbadad7912678",
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"top_three_checkpoints": [
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],
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"per_benchmark_winners": {
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"math_reasoning": {
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{
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"scorecard_sha256": "91f300eaa4514b60fe2bbae017ca263ddf4b646ef51d003a692bbadad7912678",
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"top_three_checkpoints": [
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{
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"rank": 1,
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"checkpoint": "step_1000",
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"weighted_overall_score": 0.710
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},
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{
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"rank": 2,
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"checkpoint": "step_900",
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"weighted_overall_score": 0.700
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},
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{
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"rank": 3,
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"checkpoint": "step_800",
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"weighted_overall_score": 0.689
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}
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],
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"per_benchmark_winners": {
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"math_reasoning": {
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