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 pytorch_model.bin from projecte-aina/roberta-base-ca-cased-te: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/projecte-aina/roberta-base-ca-cased-te/resolve/02a56821f3990b7ef70eca546928431d62543388/pytorch_model.bin
- Command line
-
hf download hf://projecte-aina/roberta-base-ca-cased-te@02a56821f3990b7ef70eca546928431d62543388/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/projecte-aina/roberta-base-ca-cased-te/resolve/02a56821f3990b7ef70eca546928431d62543388/pytorch_model.bin
504 MB
- Xet hash:
- 4043798ca6221e517c843e67cd1b9d5e7803fac00c1121e1e7edabdc1694347a
- Size of remote file:
- 504 MB
- SHA256:
- 6d56f1dcd9072d54c03b8571a6ef27332b68c6999985ac26e2bda02e09466d01
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.