Instructions to use siddharthl1293/albert-albert-large-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use siddharthl1293/albert-albert-large-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="siddharthl1293/albert-albert-large-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("siddharthl1293/albert-albert-large-v2") model = AutoModelForTokenClassification.from_pretrained("siddharthl1293/albert-albert-large-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68cc38d84165b7bdbe1d65d0b72c0c091addee74fcc68a0b9f80f79bdd7c7a1e
- Size of remote file:
- 66.6 MB
- SHA256:
- 882cc980e7a3644a2a846723fb599f7b7a6f8109096aeecc64fc93d35211d1c9
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