Instructions to use manashxml/my_base_model_mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manashxml/my_base_model_mlm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("manashxml/my_base_model_mlm") model = AutoModelForSeq2SeqLM.from_pretrained("manashxml/my_base_model_mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dff5c006067298762d0f4d7fd2463483d743fe5552765bd63b28f268871d2393
- Size of remote file:
- 4.92 GB
- SHA256:
- 7a741c509e6574874b23eee4d2c5fbd930fccec31743efe3c3ab6e7f4ce215a6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.