Instructions to use mideind/IceBERT-PoS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mideind/IceBERT-PoS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mideind/IceBERT-PoS", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mideind/IceBERT-PoS", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Reformat config file
Browse files- config.json +40 -191
config.json
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{
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"architectures": [
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"IceBertPosForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"attr_proj_input_size": 811,
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"auto_map": {
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"label_schema": {
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"fp": [
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"g": [
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"gender",
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"l": [
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"gender",
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"number",
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"case",
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"adj_c",
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"deg"
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],
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"n": [
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"gender",
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"number",
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"case",
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"def",
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"proper"
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"sb": [
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"voice",
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"person",
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"number",
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"tense"
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],
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"sf": [
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"voice",
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"person",
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"number",
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"sl": [
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"person",
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"number",
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"sn": [
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"ss": [
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"s\u00fe": [
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"tf": [
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"group_name_to_labels": {
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"def": [
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"deg": [
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"gender": [
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"gender_or_person": [
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"3"
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"number": [
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"sing",
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"plur"
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"person": [
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"1",
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"proper": [
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"tense": [
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"pres",
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"voice": [
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"act",
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"mid"
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"group_names": [
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"gender_or_person",
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"number",
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"def",
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"person",
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"tense"
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],
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"ignore_categories": [
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"x",
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"e"
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"label_categories": [
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"separator": "<SEP>"
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},
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"layer_norm_eps": 1e-
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"max_position_embeddings": 514,
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"model_type": "icebert-pos",
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"num_attention_heads": 12,
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{
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"architectures": ["IceBertPosForTokenClassification"],
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"attention_probs_dropout_prob": 0.1,
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"attr_proj_input_size": 811,
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"auto_map": {
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"label_schema": {
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"category_to_group_names": {
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"aa": ["deg"],
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"ae": ["deg"],
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"af": ["deg"],
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"ao": ["deg"],
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"as": ["deg"],
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"au": ["deg"],
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"a\u00fe": ["deg"],
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"fa": ["gender", "number", "case"],
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"fb": ["gender", "number", "case"],
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"fe": ["gender", "number", "case"],
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"fo": ["gender_or_person", "number", "case"],
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"fp": ["gender_or_person", "number", "case"],
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"fs": ["gender", "number", "case"],
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"ft": ["gender", "number", "case"],
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"g": ["gender", "number", "case"],
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"l": ["gender", "number", "case", "adj_c", "deg"],
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"n": ["gender", "number", "case", "def", "proper"],
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"sb": ["voice", "person", "number", "tense"],
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"sf": ["voice", "person", "number", "tense"],
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"sl": ["voice", "person", "number", "tense"],
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"sn": ["voice"],
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"ss": ["voice"],
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"sv": ["voice", "person", "number", "tense"],
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"s\u00fe": ["voice", "gender", "number", "case"],
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"tf": ["gender", "number", "case"]
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},
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"group_name_to_labels": {
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"adj_c": ["strong", "weak", "equiinflected"],
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"case": ["nom", "acc", "dat", "gen"],
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"def": ["definite"],
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"deg": ["pos", "cmp", "superl"],
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"gender": ["masc", "fem", "neut", "gender_x"],
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"gender_or_person": ["masc", "fem", "neut", "gender_x", "1", "2", "3"],
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"number": ["sing", "plur"],
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"person": ["1", "2", "3"],
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"proper": ["proper"],
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"tense": ["pres", "past"],
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"voice": ["act", "mid"]
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},
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"group_names": ["gender", "gender_or_person", "number", "case", "def", "proper", "adj_c", "deg", "voice", "person", "tense"],
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"ignore_categories": ["x", "e"],
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"label_categories": [
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"separator": "<SEP>"
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},
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"layer_norm_eps": 1e-5,
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"max_position_embeddings": 514,
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"model_type": "icebert-pos",
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"num_attention_heads": 12,
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