Instructions to use CoderCoy/NLP-PROJECT-NMU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CoderCoy/NLP-PROJECT-NMU with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CoderCoy/NLP-PROJECT-NMU") model = AutoModelForSeq2SeqLM.from_pretrained("CoderCoy/NLP-PROJECT-NMU", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d715728c59e20943696b47bf73fb0e55613882deeb14128679f555b6fe2aff5
- Size of remote file:
- 2.33 GB
- SHA256:
- dd8503ffe861f7d7b1ab409218836626197a1146a2edfb44f8b7d92fc3998bdb
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