Instructions to use MeysamAC/packt_bert_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MeysamAC/packt_bert_random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MeysamAC/packt_bert_random")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("MeysamAC/packt_bert_random") model = AutoModel.from_pretrained("MeysamAC/packt_bert_random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5feeb3ad2465a4115a06c0b1490a04a87d37166104e2ec1c48ab437f9b783a49
- Size of remote file:
- 438 MB
- SHA256:
- e9e274557a7d932f5acc411261902cb94e9123f234717d094c836b1a114201db
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