Token Classification
Transformers
PyTorch
Catalan
roberta
catalan
part of speech tagging
pos
CaText
Catalan Textual Corpus
Eval Results (legacy)
Instructions to use projecte-aina/roberta-base-ca-v2-cased-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/roberta-base-ca-v2-cased-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="projecte-aina/roberta-base-ca-v2-cased-pos")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("projecte-aina/roberta-base-ca-v2-cased-pos") model = AutoModelForTokenClassification.from_pretrained("projecte-aina/roberta-base-ca-v2-cased-pos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from projecte-aina/roberta-base-ca-v2-cased-pos: direct link, hf CLI and curl.
- Browser
- Download file 1.33 kB
-
https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-pos/resolve/main/config.json
- Command line
-
hf download hf://projecte-aina/roberta-base-ca-v2-cased-pos/config.json
-
curl -L -o config.json https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-pos/resolve/main/config.json
1.33 kB
| { | |
| "_name_or_path": "projecte-aina/roberta-base-ca-v2-cased-pos", | |
| "architectures": [ | |
| "RobertaForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "eos_token_id": 2, | |
| "finetuning_task": "upos", | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "NOUN", | |
| "1": "PUNCT", | |
| "2": "ADP", | |
| "3": "NUM", | |
| "4": "SYM", | |
| "5": "SCONJ", | |
| "6": "ADJ", | |
| "7": "PART", | |
| "8": "DET", | |
| "9": "CCONJ", | |
| "10": "PROPN", | |
| "11": "PRON", | |
| "12": "X", | |
| "13": "_", | |
| "14": "ADV", | |
| "15": "INTJ", | |
| "16": "VERB", | |
| "17": "AUX" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "NOUN": 0, | |
| "PUNCT": 1, | |
| "PROPN": 10, | |
| "PRON": 11, | |
| "X": 12, | |
| "_": 13, | |
| "ADV": 14, | |
| "INTJ": 15, | |
| "VERB": 16, | |
| "AUX": 17, | |
| "ADP": 2, | |
| "NUM": 3, | |
| "SYM": 4, | |
| "SCONJ": 5, | |
| "ADJ": 6, | |
| "PART": 7, | |
| "DET": 8, | |
| "CCONJ": 9 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "roberta", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "transformers_version": "4.6.1", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 50262 | |
| } | |