Taiwan LLM
Collection
Try out at twllm.com ! • 26 items • Updated • 53
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("yentinglin/bert-base-zhtw")
model = AutoModelForMaskedLM.from_pretrained("yentinglin/bert-base-zhtw")Quick Links
Usage 🤗 Transformers pipeline
from transformers import pipeline
embedder = pipeline("feature-extraction", "yentinglin/bert-base-zhtw")
embeddings = embedder("台灣使用繁體中文", return_tensors=True)
print(embeddings.shape)
# torch.Size([1, 10, 768])
license: https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en
Disclaimer
This model is provided “as‑is” and without warranties of any kind. Users are solely responsible for evaluating the accuracy and suitability of the outputs. The developers assume no liability for any direct or indirect damages arising from its use.
The model is strictly not intended for high‑risk applications such as medical diagnosis, legal advice, or financial investment. For such use cases, please consult qualified professionals.
本模型「如是」（as‑is）提供，使用者須自行評估結果之正確性與適用性。開發者對於使用本模型所引發之任何直接或間接損失，不承擔任何法律責任。
嚴禁用於醫療診斷、法律諮詢、金融投資等高風險場景；若有相關需求，請尋求專業人員協助。
- Downloads last month
- 10
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="yentinglin/bert-base-zhtw")