Instructions to use ArjanvD95/animals_pfr_mdeberta_512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArjanvD95/animals_pfr_mdeberta_512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ArjanvD95/animals_pfr_mdeberta_512")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ArjanvD95/animals_pfr_mdeberta_512") model = AutoModelForTokenClassification.from_pretrained("ArjanvD95/animals_pfr_mdeberta_512") - Notebooks
- Google Colab
- Kaggle
animals_pfr_mdeberta_512 / runs /May09_11-38-47_7b53e8255847 /events.out.tfevents.1746790736.7b53e8255847.261.2
- Xet hash:
- fe67972fc59102de93ca22aaf9ab03e5df48cfa954e932d2adde6921125c1cb4
- Size of remote file:
- 12.6 kB
- SHA256:
- 71b21a24450b6d7115394df47f7a1c009015356f6b1116d59da094aafd98d15f
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