Mid Lambda EN

The model was trained on about 10,000 unique medical terms. You can see a summary of the data in the next section

### Overview Dataset

__**You can try pronunciation of words like shown in the table below**
|    | Term             |
|---:|:-----------------|
|  0 | indogesic        |
|  1 | rothacin         |
|  2 | indomethacin     |
|  3 | methacin         |
|  4 | indocid retard   |
|  5 | flexin           |
|  6 | elmetacin        |
|  7 | ixifi            |
|  8 | remsima          |
|  9 | remicade         |
| 10 | actacel vaccine  |
| 11 | axitinib         |
| 12 | isoprinosine     |
| 13 | imunovir         |
| 14 | icgreen          |
| 15 | emacrit          |
| 16 | emacrit capsules |
| 17 | sarclisa         |
| 18 | cresemba         |
| 19 | isepacine        |
{}
transformers pytorch wav2vec2 automatic-speech-recognition endpoints_compatible region:us
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #endpoints_compatible #region-us 

Mid Lambda EN


The model was trained on about 10,000 unique medical terms. You can see a summary of the data in the next section


### Overview Dataset


\_\_You can try pronunciation of words like shown in the table below




### Overview Dataset


\_\_You can try pronunciation of words like shown in the table below
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #endpoints_compatible #region-us 
 ### Overview Dataset


\_\_You can try pronunciation of words like shown in the table below
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #endpoints_compatible #region-us 
### Overview Dataset


\_\_You can try pronunciation of words like shown in the table below