Instructions to use sxandie/autotrain-re_syn_cleanedtext_bert-55272128958 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sxandie/autotrain-re_syn_cleanedtext_bert-55272128958 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sxandie/autotrain-re_syn_cleanedtext_bert-55272128958")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sxandie/autotrain-re_syn_cleanedtext_bert-55272128958") model = AutoModelForTokenClassification.from_pretrained("sxandie/autotrain-re_syn_cleanedtext_bert-55272128958", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c87dbaeab066567a221988e2a5761b8537cec2dc91609086a0ebc44143a6f7e
- Size of remote file:
- 709 MB
- SHA256:
- d7520603f135bde94b9ecb4be63a74a6ecd9eb8c1848ee3b1d62ee105f486616
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