Question Answering
Transformers
Safetensors
grt
extractive-qa
squad
rotational-transformer
givens-rotations
clifford-algebra
matterwave
Instructions to use MatterWaveAI/grt-30m-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatterWaveAI/grt-30m-qa with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" 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("question-answering", model="MatterWaveAI/grt-30m-qa")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForQuestionAnswering model = AutoModelForQuestionAnswering.from_pretrained("MatterWaveAI/grt-30m-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,320 Bytes
92454d2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | {
"angle_init_scale": 0.1,
"architectures": [
"GRTForQuestionAnswering"
],
"attention_dropout": 0.0,
"bos_token_id": 151643,
"coupling_init_mode": "diagonal",
"coupling_init_scale": 0.01,
"dtype": "float32",
"eos_token_id": 151643,
"ffn_n_experts": 0,
"ffn_n_rotations": 21,
"hidden_size": 256,
"id2label": {
"0": "SPAN_START",
"1": "SPAN_END"
},
"initializer_range": 0.02,
"intermediate_size": 1024,
"label2id": {
"SPAN_END": 1,
"SPAN_START": 0
},
"learnable_residual_gates": true,
"learnable_rope": true,
"log_magnitude_init": 0.0,
"max_position_embeddings": 2048,
"model_type": "grt",
"mor_delta_scale": 0.5,
"mor_mode": "direct",
"mor_router_mode": "rotational",
"mor_split_routers": false,
"mor_top_k": null,
"n_mixer_rotations": 1,
"n_qkv_rotations": 11,
"num_attention_heads": 4,
"num_hidden_layers": 12,
"num_labels": 2,
"output_scale_init": 30.0,
"pad_token_id": 151643,
"peri_ln": false,
"phase_init_scale": 0.1,
"pos_freq_base": 10000.0,
"residual_gate_mode": "bounded_depth",
"residual_norm_mode": "none",
"rope_placement": "stream",
"tie_word_embeddings": false,
"transformers_version": "5.21.0.dev0",
"use_cache": false,
"vocab_size": 151669
}
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