Text Classification
Transformers
PyTorch
Catalan
roberta
catalan
teca
CaText
Catalan Textual Corpus
Eval Results (legacy)
text-embeddings-inference
Instructions to use projecte-aina/roberta-base-ca-cased-te with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/roberta-base-ca-cased-te with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="projecte-aina/roberta-base-ca-cased-te")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("projecte-aina/roberta-base-ca-cased-te") model = AutoModelForSequenceClassification.from_pretrained("projecte-aina/roberta-base-ca-cased-te", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from projecte-aina/roberta-base-ca-cased-te: direct link, hf CLI and curl.
- Browser
- Download file 966 Bytes
-
https://huggingface.co/projecte-aina/roberta-base-ca-cased-te/resolve/02a56821f3990b7ef70eca546928431d62543388/config.json
- Command line
-
hf download hf://projecte-aina/roberta-base-ca-cased-te@02a56821f3990b7ef70eca546928431d62543388/config.json
-
curl -L -o config.json https://huggingface.co/projecte-aina/roberta-base-ca-cased-te/resolve/02a56821f3990b7ef70eca546928431d62543388/config.json
966 Bytes
| { | |
| "_name_or_path": "BSC-TeMU/roberta-base-ca", | |
| "architectures": [ | |
| "RobertaForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "eos_token_id": 2, | |
| "finetuning_task": "textual-entailment", | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "ENTAILMENT", | |
| "1": "NEUTRAL", | |
| "2": "CONTRADICTION" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "ENTAILMENT": 0, | |
| "NEUTRAL": 1, | |
| "CONTRADICTION": 2 | |
| }, | |
| "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", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.9.1", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 52000 | |
| } | |