Feature Extraction
Transformers
TensorBoard
Safetensors
English
captionbert_structured_rotary
sentence-similarity
consensus-distillation
rotary-embeddings
custom_code
Instructions to use AbstractPhil/captionbert-8192-rotary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbstractPhil/captionbert-8192-rotary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AbstractPhil/captionbert-8192-rotary", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AbstractPhil/captionbert-8192-rotary", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Frozen development lookup/parity: H16-seed1
Browse files- experiments/fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e/H16-seed1/frozen-followup-59ec95344958/anchor_angles_off-queries.npz +3 -0
- experiments/fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e/H16-seed1/frozen-followup-59ec95344958/anchor_angles_off/dev-sts-predictions.npz +3 -0
- experiments/fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e/H16-seed1/frozen-followup-59ec95344958/intact-queries.npz +3 -0
- experiments/fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e/H16-seed1/frozen-followup-59ec95344958/intact/dev-sts-predictions.npz +3 -0
- experiments/fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e/H16-seed1/frozen-followup-59ec95344958/report.json +416 -0
- experiments/fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e/H16-seed1/frozen-followup-59ec95344958/row-ids.npy +3 -0
- experiments/fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e/H16-seed1/frozen-followup-59ec95344958/tensorboard/events.out.tfevents.1793995846.79fe39615b31.111574.0 +3 -0
- experiments/fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e/H16-seed1/frozen-followup-59ec95344958/value_addresses_constant-queries.npz +3 -0
- experiments/fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e/H16-seed1/frozen-followup-59ec95344958/value_addresses_constant/dev-sts-predictions.npz +3 -0
experiments/fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e/H16-seed1/frozen-followup-59ec95344958/anchor_angles_off-queries.npz
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experiments/fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e/H16-seed1/frozen-followup-59ec95344958/anchor_angles_off/dev-sts-predictions.npz
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experiments/fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e/H16-seed1/frozen-followup-59ec95344958/intact-queries.npz
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size 122331
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experiments/fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e/H16-seed1/frozen-followup-59ec95344958/intact/dev-sts-predictions.npz
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version https://git-lfs.github.com/spec/v1
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size 18514
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experiments/fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e/H16-seed1/frozen-followup-59ec95344958/report.json
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|
| 1 |
+
{
|
| 2 |
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"arm": "H16",
|
| 3 |
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"seed": 1,
|
| 4 |
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"config_id": "fad07b2a05857a7abef278004986cacc1e3b8eb89b70943668505ea90498525e",
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"dataset_id": "659b21c1c6eb1074eeec7acdbfa9bd010965595a4669338690cf3ae38a4448d5",
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"split": "chunk061 development",
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"precision": "fp32 TF32 off",
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| 11 |
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"measurements": {
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| 12 |
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"intact": {
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| 13 |
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