Instructions to use stuwang/XMTCQA-LEGALBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stuwang/XMTCQA-LEGALBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="stuwang/XMTCQA-LEGALBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("stuwang/XMTCQA-LEGALBERT") model = AutoModelForTokenClassification.from_pretrained("stuwang/XMTCQA-LEGALBERT") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b48749b01a5a8bd574a0e328fc81b969ed985b9dc28b0d8bceb09a6c87463d4
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size 435596088
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