Instructions to use eduagarcia-temp/ptcrawl_base_v1_5__checkpoint2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eduagarcia-temp/ptcrawl_base_v1_5__checkpoint2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="eduagarcia-temp/ptcrawl_base_v1_5__checkpoint2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("eduagarcia-temp/ptcrawl_base_v1_5__checkpoint2") model = AutoModelForMaskedLM.from_pretrained("eduagarcia-temp/ptcrawl_base_v1_5__checkpoint2") - Notebooks
- Google Colab
- Kaggle
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