Model reference · open weights
chinese-hubert is an open-weight embedding model from TencentGameMate. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | TencentGameMate |
|---|---|
| Type | Embedding models |
| Task | Embeddings |
| Runs with | transformers |
| Released | 2022-06-02 |
| Popularity | 41k downloads / month |
| Licence | Open weights |
About
Pretrained on 10k hours WenetSpeech L subset. More details in TencentGameMate/chinese_speech_pretrain
This model does not have a tokenizer as it was pretrained on audio alone. In order to use this model speech recognition, a tokenizer should be created and the model should be fine-tuned on labeled text data.
python package: transformers==4.16.2
import torch
import torch.nn.functional as F
import soundfile as sf
from transformers import (
Wav2Vec2FeatureExtractor,
HubertModel,
)
model_path=""
wav_path=""
feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(model_path)
model = HubertModel.from_pretrained(model_path)
# for pretrain: Wav2Vec2ForPreTraining
# model = Wav2Vec2ForPreTraining.from_pretrained(model_path)
model = model.to(device)
model = model.half()
model.eval()
wav, sr = sf.read(wav_path)
input_values = feature_extractor(wav, return_tensors="pt").input_values
input_values = input_values.half()
input_values = input_values.to(device)
with torch.no_grad():
outputs = model(input_values)
last_hidden_state = outputs.last_hidden_state
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys chinese-hubert for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (chinese-hubert below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/embeddings \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"chinese-hubert","input":"text to embed"}'
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.