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:
- 6970276a416121062d630a9da01baddbaa521c4dc73a0dd835a7f48e5eddebd5
- Size of remote file:
- 2.92 MB
- SHA256:
- 4e8d2533b6e39afe137ac1ff84390ef303f71f9c257aab2df09f4c6a62d08bf3
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