Instructions to use JuanJoseMV/BERT_text_gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuanJoseMV/BERT_text_gen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JuanJoseMV/BERT_text_gen")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JuanJoseMV/BERT_text_gen") model = AutoModelForMaskedLM.from_pretrained("JuanJoseMV/BERT_text_gen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6880038a2d2e0e9dbef1c32e7cf343683208f37af040e9a371f9da7aafe284cf
- Size of remote file:
- 438 MB
- SHA256:
- e8f6a196d3c4adb37259db0b96422cdf2cd8d42e6653df08332b7fbd3e1d379b
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