# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("petabyte/unang_mang_bert")
model = AutoModel.from_pretrained("petabyte/unang_mang_bert")Quick Links
YAML Metadata Error:"datasets[0]" with value "OSCAR tl" is not valid. If possible, use a dataset id from https://hf.co/datasets.
YAML Metadata Error:"language[0]" must only contain lowercase characters
YAML Metadata Error:"language[0]" with value "Tagalog" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="petabyte/unang_mang_bert")