Instructions to use dccuchile/albert-base-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dccuchile/albert-base-spanish with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("dccuchile/albert-base-spanish") model = AutoModelForPreTraining.from_pretrained("dccuchile/albert-base-spanish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from dccuchile/albert-base-spanish: direct link, hf CLI and curl.
- Browser
- Download file 64.1 MB
-
https://huggingface.co/dccuchile/albert-base-spanish/resolve/main/tf_model.h5
- Command line
-
hf download hf://dccuchile/albert-base-spanish/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/dccuchile/albert-base-spanish/resolve/main/tf_model.h5
64.1 MB
- Xet hash:
- 573cea35d7efae34f81187237b0dbf57a23cdc8f1fc465b49d0abc5e846fd2be
- Size of remote file:
- 64.1 MB
- SHA256:
- 57db1136371c009fef73d6700f6570062471080cdbb5a4acdb9d143e5f78cd2e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.